Compressive Sensing Jobs (CS Jobs)


An incomplete list of jobs that require an understanding of Compressive Sensing and related subjects 

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  • Post Doc FORTH-ICS, Crete
    We have a new opening for a postdoctoral researcher on audio signal processing. At FORTH-ICS, located at Crete, Greece. Some details for the position follow. This info is also available at the following link:
    Project: AVID-MODE: FP7-PEOPLE-IAPP EU-funded project at FORTH-ICS
    Position: Post-doctoral researcher
    Start date: Immediately
  • Duration: 12-18 months
    Salary: 39.000-42.000 EUR/year (gross income depending on family status)

    Description:
    The Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science (ICS) at the Foundation for Research and Technology-Hellas (FORTH), is seeking recent PhD graduates for a post-doctoral position in the field of Audio Signal Processing. The successful candidate will have the opportunity to work on one or more of several interesting projects including multichannel audio and surround sound, teleconferencing and noise cancellation, sound source separation/beamforming, and audio codec design and implementation.


    The successful candidate will be offered the opportunity to:

    Have access to laboratory space and significant resources, and interact with researchers from other FORTH-ICS labs.
    Work within a team with a strong international flavour including many researchers of non-Greek origin.
    Collaborate with academic and industrial partners in Greece and abroad.
    Work on a research subject which best fits his/her background and future goals, within the general areas described above.


    Required skills:

    A PhD in computer science, electrical engineering, or related field.
    Substantial research experience in signal processing for audio signals, as evidenced by a good publication record.
    Significant programming experience in Matlab and/or C/C++.


    Eligibility:

    Recent PhD graduates (less than 10 years after obtaining their BS degree).
    Non-Greek nationals, who have not resided in Greece more than 12 months in the 3 years prior to the appointment.
    Greek nationals who have resided and held their primary activities outside Greece for at least 3 of the last 4 years.
    FORTH is an equal opportunity employer; female candidates are particularly encouraged to apply.


    To apply, please send a cover letter and a CV to Prof. Mouchtaris.


    e-mail:mouchtar@ics.forth.gr
    http:// www.ics.forth.gr/~mouchtar
  • Research Associate

    Imperial College London - Department of Electrical and Electronic Engineering, Communications and Signal Processing Group


  • Salary in the range £31,300 - £39,920 per annum
    Fixed term appointment for one year (with a possibility of extension)
    We are seeking a highly motivated Research Associate to join the University Defence Research Centre (UDRC) in Signal Processing (http://mod-udrc.org/) at Imperial College London to work on a research project on sparse signal processing. The research focuses on adaptive compressed sampling of wideband dynamic signals. Both theoretical and experimental research are anticipated. The position offers a unique opportunity for a talented scientist to work in a dynamic and innovative environment and to develop their career at the interface of basic research and its applications.
    The successful candidate will have a PhD (or equivalent) in signal processing/coding or a similar subject, and a good first degree (or equivalent) in Engineering, Physics, Mathematics or Computer Science. A background in compressed sensing or sparse coding is desirable, but anyone with general knowledge in signal processing or communications is encouraged to apply.

    Informal enquiries may be made to Dr. Wei Dai at email address wei.dai1@imperial.ac.uk or Dr. Cong Ling at email addressc.ling@imperial.ac.uk.

    Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (please select "Job Search" then enter the job title or vacancy reference number EN20110214RS into "Keywords"). Please complete and upload an application form as directed.

    Please attach a cover letter explaining your current interests, and relevant background to this project, your curriculum vitae and a list of your publications.

    Alternatively, if you are unable to apply online or have any queries about the application process, please contact Ms Lauren Noto, Group Administrator at email address l.noto@imperial.ac.uk to request an application form, quoting reference number EN20110214RS in the request.

    Previous applicants need not apply.

    Closing date: 24 October 2011

    Interviews will be held early in November

  • Postdoctoral Research Assistant, Brunel University, UK - School of Engineering and Design

    Vacancy ref DEA0474-1
    Full-time, Fixed term contract for 1 year
    recruitdea@brunel.ac.uk 

    Applications are invited for a Postdoctoral Research Assistant to work on the EPSRC project "Structured sampling operators for compressive terahertz imaging".

    The main purpose of this post is to design fast signal processing algorithms for terahertz imaging systems based on newly developed compressed sensing theory. Most existing time-domain terahertz imaging systems are limited by slow scanning speed and high implementation cost. Compressed sensing theory has the potential to provide simple hardware implementation and better imaging efficiency. The project will explore the feasibility of such a technique and design and evaluate a proof of concept compressive terahertz imaging camera.

    The suitable applicant should have a PhD (or have recently submitted the thesis) in engineering, computer science or related discipline, and a strong background in signal processing. Working knowledge of terahertz imaging is desirable.

    The post is full time for 12 months starting from 1st Nov. 2011 or as soon as possible thereafter. Starting salary will be in the range £29,792 - £32,751 per annum plus £2,166 per annum London Weighting.

    Closing date for applications: 18th August 2011

    For further details and to apply please visit https://jobs.brunel.ac.uk/WRL/ Informal enquiries regarding these posts should be made to Dr L Gan (email: lu.gan@brunel.ac.uk)
  • April 19, 2011, Postdoc, CISRO, Australia Positions Details - 2011/183 - OCE Postdoctoral Fellow - Distributed Sparse Approximation in Cyber Physical Systems

    Job Profile

    Reference Number: 2011/183
    Position Title: OCE Postdoctoral Fellow - Distributed Sparse Approximation in Cyber Physical Systems
    Division: CSIRO ICT Centre
    Location: Pullenvale, QLD
    Classification: CSOF4
    Salary Range: $73K - $80K per annum plus up to 15.4% superannuation
    Tenure: 3 years
    Applicants: International Applicants Welcome
    Applications Close: 31 May 2011
    Job Category:
    Post Doctoral/Fellowship
    Scientific Research

    The position:

    The OCE Postdoctoral Fellowship is a prestigious early career fellowship funded through the Office of the Chief Executive Science Team of CSIRO and is available for 3 years.

    We are seeking a talented and dedicated recent or near-PhD graduate to be part of the rapidly growing research program being undertaken by the CSIRO ICT Centre in Pervasive Computing.

    Specific duties will include:

    Develop and evaluate novel, innovative solutions to key research problems in the area of compressive sensing/sparse approximations.
    Conduct experiments to verify and demonstrate research outcomes.
    Interact and collaborate with domain scientists and end users to solve cross-disciplinary problems and guide future research directions.
    Write high quality journal and conference papers on key research outcomes.
    Location: Brisbane, Australia

    Salary: AU$73K - $80K per annum plus up to 15.4% superannuation
    Ref No: 2011/183

    To be successful you'll have:

    A PhD (or near completion of) in computer science, electrical engineering, applied statistics/mathematics or relevant discipline.
    Expertise in one or more areas of compressive sensing, sparse approximations, statistical analysis and distributed signal processing.
    Demonstrated ability to program in MATLAB (or similar) for data analysis.
    About CSIRO:

    Australia is founding its future on science and innovation. Its national science agency, Commonwealth Scientific and Industrial Research Organisation (CSIRO), is a powerhouse of ideas, technologies and skills for building prosperity, growth, health and sustainability. It serves governments, industries, business and communities.

    CSIRO ICT Centre is building a role for Australia as a global ICT innovator by delivering leading-edge Information and Communication Technology solutions for industry and society. The Centre has over 250 researchers across Australia working on a wide range of ICT technologies and application areas.

    Aboriginal and Torres Strait Islanders are encouraged to apply for all CSIRO positions.

    Position Description 


    The role of OCE Postdoctoral Fellow - Distributed Sparse Approximation in Cyber Physical Systems will involve the following key duties:

    Develop and evaluate novel, innovative solutions to key research problems in the area of compressive sensing/sparse approximations.
    Conduct experiments to verify and demonstrate research outcomes.
    Interact and collaborate with domain scientists and end users to solve cross-disciplinary problems and guide future research directions.
    Write high quality journal and conference papers on key research outcomes.
    Prepare comprehensive and accurate documentation for patents and industrial reports.
    Other duties as required.
    Key capabilities:

    The Postdoctoral Fellow we are recruiting will be based in the Autonomous Systems Laboratory, located in Brisbane, and the general research area is pervasive computing. Specific topics include managing the energy/information tradeoff (such as for localization and sensor sampling), in-network processing of information-rich data sources, such as audio and video sensors, data fusion and backend matching of sensed data to users’ interests. We are seeking a talented and highly motivated researcher with a track record in compressive sensing/sparse approximations (or related areas) along with a passion for developing innovative research solutions to real problems in a multi-disciplinary environment. The successful candidate will have skills in one or more of the following areas:

    Distributed compressive sensing and sparse approximation
    Context modeling and context-aware computing
    Distributed signal processing, audio and video processing, data fusion
    Statistical analysis of large scale datasets
    You will become a valuable member of our research team, responsible for driving forward key areas of our growing research program.

    Selection Criteria 


    **Note that to be eligible for consideration for appointment to a Postdoctoral fellowship within CSIRO an applicant’s total relevant (Postdoctoral Fellow and Research Scientist) work experience, on completion of the Postdoctoral fellowship at CSIRO, must not exceed six full-time equivalent years since confirmation of their doctorate.

    Essential:

    A PhD (or near completion of) in computer science, electrical engineering, applied statistics/mathematics or relevant discipline.
    Expertise in one or more areas of compressive sensing, sparse approximations, statistical analysis and distributed signal processing.
    Demonstrated ability to program in MATLAB (or similar) for data analysis.
    Analytical skills and ability to solve complex conceptual problems through the application of scientific and engineering principles.
    Excellent verbal and written communication skills.
    Demonstrated ability to publish in leading scientific journals or conferences.
    Ability to foster positive working relationships and contribute effectively as part of a multi-disciplinary team.
    Sound judgment and the ability to act independently.
    Desirable:

    Experience with languages such as Python or C.
    Knowledges at computer vision and tracking DSP application domains.
    CSIRO is a values based organisation. In your application and at interview you will need to demonstrate behaviours aligned to our values of:

    Integrity of excellent science
    Building trust and respect each day
    Initiative to explore new horizons
    Delivering on commitments
    Safety and sustainability

    How to Apply:

    You are required to include two (2) documents:
    (1) a document addressing the Selection Criteria; and
    (2) a "Resume or CV" including the names of at least two professional referees. 

    To address the Selection Criteria please write a paragraph or two using each selection criterion as a heading and outline how you are able to meet that criteria. Applicants who do not address the selection criteria may not be considered. For assistance when preparing your application please read the information available at "Guidelines for Applicants" 

    Applications:

    Before you apply please ensure that your documents are in Text, MS Word or PDF. Please also ensure your file is not larger than 1MB in PDF format, or 2MB for all other formats. Your Documents will be converted into PDF format. To view these documents once converted you will need to download Adobe Reader Download Adobe Reader 

    CSIRO prefers applications be lodged online via this careers site.

    If you experience difficulties applying online call 1300 301 509 and someone will be able to assist you. Outside business hours please email: csiro-careers@csiro.au.

    If you are unable to lodge your application online you can send your completed application and copies of any supporting documentation quoting reference number 2011/183 to:

    CSIRO Careers Online
    PO Box 225
    DICKSON ACT 2602

    Contact: If after reading the selection documentation you require further information please contact Dr Wen Hu via email Wen.Hu@csiro.au or phone +61 7 3327 4043.

    Please do not email your application directly to Wen. Applications received via this method will not be considered. You must use the 'Apply Now' link, or an alternative method of submission as outlined above.

    CSIRO Vision, Purpose & Beliefs

    CSIRO's purpose is to deliver great science and innovative solutions for industry, society and the environment by igniting the creative spirit of our people. People are at the centre of everything we do. We work to create the right environment to amplify our talent. It is not enough just to have a great idea; we must have impact, solve problems and make a difference. We take a triple bottom line focus in our activities, balancing between commerce and the public good. Great science is our foundation. Getting it out there is our aim.

    CSIRO ICT Centre is building a role for Australia as a global ICT innovator by delivering leading-edge Information and Communication Technology solutions for industry and society. The Centre has over 250 researchers across Australia working on a wide range of ICT technologies and application areas. The Centre forms the hub of the cutting-edge ICT research undertaken by the CSIRO.

    The ICT Centre is currently playing a leading role in CSIRO’s creation of a large, cross-cutting program into wireless sensor networks and pervasive computing with approximately 40 staff which is tackling system components including sensor transduction, energy harvesting, wireless communications, privacy and security, programming, querying, maintenance, planning, web service integration and data management. For further information on the CSIRO ICT Centre please visit www.ict.csiro.au
  • Jan 31, 2011, Postdoc, Technion We are seeking a highly motivated, talented, and fun post-doctorate fellow, for exciting research in
    the area of compressed sensing applied to analog signals with applications to low-rate analog-to-
    digital conversion, ultrasound imaging, radar systems, cognitive radio and more.

    The research will involve tight interaction between engineering (signal processing and hardware
    design) and applied mathematics and statistics. This project provides a unique opportunity to conduct
    research on topics that are in the frontier of signal processing and sampling theory, while at the
    same time have direct impact on industrial applications. Our labs are equipped with state-of-the art
    equipment from several companies interested in advanced sampling techniques for next generation
    radar/ultrasound/wireless systems and more. See
    http://webee.technion.ac.il/Sites/People/YoninaEldar/Info/hardware.html for a description of some
    current projects.

    Potential candidates should have:
    * An established research record with solid publications and the ability to work independently;
    * Strong background in applied mathematics (relevant specialties are: sampling theory, optimization,
    signal processing, harmonic analysis);
    * Knowledge of RF theory and design is a big advantage (but not necessary);
    * A true desire to collaborate and be part of a team which will include both mathematicians and
    analog design experts.
    This project will offer the opportunity to collaborate closely with renowned experts in a stimulating
    intellectual environment, including the latest equipment in RF, radar, and other areas.

    The working conditions at the Technion are excellent. The Department of Electrical Engineering of the
    Technion is ranked among the "top 10" Electrical Engineering and Computer Science departments in
    the world. The department is the major source of engineers who lead the development of advanced
    Israeli technology in the fields of electronics, computers and communications. A recent international
    review ranked the labs, the projects, and the student quality as "second to none". The Technion is
    located in Haifa, a beautiful vibrant port-city on the Mediterranean.

    Details:
    Starting time: Spring/Summer 2011 and onwards.
    Duration: An initial contract of 1 year duration will be offered to the successful candidate, with a
    possibility of extension.

    Interested candidates are invited to send their CV with names of 2 references to Prof. Yonina Eldar at
    yonina@ee.technion.ac.il
    http://webee.technion.ac.il/Sites/People/YoninaEldar/
  • Jan 25th, 2011, Postdoc, EPFL,

    POSTDOCTORAL POSITION at EPFL ON COMPRESSED SENSING FOR INTERFEROMETRIC IMAGING


    Announcement: January 25 2011

    Application Deadline: March 1 2011

    Starting date: as soon as June 1 2011


    A postdoctoral position on "Compressed sensing imaging techniques for radio interferometry" is available, as soon as in June 2011, at the Signal Processing Laboratories (SP Lab, splabs.epfl.ch) of EPFL. The opening relies on new funding obtained by Dr Yves Wiaux and Pierre Vandergheynst at the Swiss National Science Foundation (SNSF, www.snf.ch), in the aim of strengthening the activities of the BASP (lts2www.epfl.ch/~ywiaux/index-baspnode) research node in astrophysical signal processing, in collaboration with the Signal Processing Laboratory 2 (LTS2, lts2www.epfl.ch).


    The position is opened to any dynamic and highly qualified candidate, Ph.D. in Electrical Engineering, Physics or equivalent and with a strong background in signal processing, specifically on compressive sampling. Competence in programming (MATLAB, C) is required. Knowledge of signal processing on the sphere, or radio-interferometric imaging is a plus. The successful candidate will be in charge of the collaborations between the BASP node and the international radio astronomy community. In addition to his/her main activities, he/she will also be welcome to collaborate with other researchers of the BASP node and of the SP Lab on signal processing for magnetic resonance imaging.


    The appointment is initially for one-year, with the possibility of renewal, based upon performance. Note that EPFL offers very attractive salaries.


    Requests for further information and applications (including cover letter, CV, and three reference letters), should be sent to Dr Y. Wiaux, directly by email (yves.wiaux[at]epfl.ch), ideally by March 1 2011 (though applications will be considered until the position is filled).

  • Dec 13th, 2010. PhD Research, EPFL, BASP NODE ANNOUNCEMENT for a PhD POSITION:

    In the context of new funding obtained at the Swiss National Science Foundation (SNSF, http://www.snf.ch/) by Dr Y. Wiaux (BASP, http://lts2www.epfl.ch/~ywiaux/index-baspnode) and collaborators a Ph.D. position is available at the Swiss Federal Institute of Technology in Lausanne (EPFL) as soon as in early 2011, in the field of Advanced Magnetic Resonance (MR) imaging. This position will be hosted by the Center for Biomedical Imaging (CIBM, http://www.cibm.ch/), with strong collaboration with the signal processing laboratories. It is opened to highly qualified candidates holding a Master of sience, in physics, electrical engineering, bio engineering, or any closely related field. Strong competence in signal processing (inverse problems: denoising, deconvolution, etc.; sparsity: wavelets, compressed sensing, etc.) and programming (MATLAB, C) is required. Competence in biomedical, in particular MR, imaging are advantages.

    Note that EPFL offers very attractive salaries.

    All Application documents, including a cover letter, a CV (with full details of marks over the Master), and three reference letters, should be sent to Y. Wiaux, directly by email (mailto: yves.wiaux@epfl.ch).
  • Postdocs in Signal Processing, Sensor Networks, and Compressive Sensing, Stevens Institute of Technology
    * Date Posted Dec. 20, 2010
    * Job Title
    Postdocs in Signal Processing, Sensor Networks, and Compressive Sensing
    * Department
    Electrical and Computer Engineering
    * Institution
    Stevens Institute of Technology
    Hoboken, NJ

    * Application Deadline Open until filled
    * Position Start Date Available immediately
    * Apply By E-mail Hongbin.Li@stevens.edu


    * Job Categories Post-Doc

    * Academic Fields Electrical and/or Electronics
    Computer Engineering
    Computer Science
    Engineering - General
    View University Jobs in New Jersey NEW JERSEY
    STEVENS INSTITUTE OF TECHNOLOGY

    We seek multiple outstanding post-doctoral associates to work in the following areas:

    1) statistical signal processing with emphasis on space-time adaptive processing (STAP) and multi-input multi-output (MIMO) radars

    2) wireless sensor networks (distributed detection/estimation/computing, consensus, etc.)

    3) compressive sensing.

    Appointment is for two years starting immediately, and may be renewable after the two-year period. For qualification, a PhD degree in electrical engineering, computer engineering, applied math/statistics, or a related field is required. Strong publication record in recognized journals is highly desirable.

    To apply, send your CV, including a list of publications and references, to (email preferred)

    Dr. Hongbin Li, Professor
    Department of Electrical and Computer Engineering
    Stevens Institute of Technology
    Hoboken, NJ 07030, USA
    Phone: (201) 216-5604; Fax: (201) 216-8246
    E-mail: Hongbin.Li@stevens.edu

    Founded in 1870, Stevens is a premier private coeducational institution offering baccalaureate, masters and doctoral degrees in engineering, science, and management. The school is located in Hoboken, New Jersey; a historic town that is just minutes away from Manhattan, New York City.

    * EEO/AA Policy
    Stevens is an affirmative action/ equal opportunity employer.
  • November 22, 2010, Position title: Postdoctoral Research Associate (ECE Department at the University of Arizona)

    Application procedure are available at www.uacareertrack.com (job number 46112

    Position summary:

    The DARPA Knowledge Enhanced Compressive Measurement (KECoM) project has the primary goals of 1) developing a mathematical framework for incorporating prior knowledge of tasks and observed signals into the design of compressive sensors, and 2) applying this framework to relevant sensing modalities. The UA anticipates a KECoM award to support investigation of information-theoretic techniques for sensor optimization under prior knowledge, as well as application to a compressive spread-spectrum receiver, a compressive radar transmitter/receiver, and a compressive spectral imager.

* Two to three postdoctoral researchers will be hired for the DARPA KECoM effort



* Occasional travel may be required

* Original postdoctoral appointment is for one year with renewal possible for up to a total of three years




Duties and responsibilities:

* Provide advanced technical expertise in RF compressive receiver design/engineering OR compressive spectral imager design/engineering

* Provide advanced technical expertise in compressive sensor modeling AND/OR hardware demonstration systems

* Day-to-day technical supervision of other UA program technical staff

* Periodic reporting and documentation as required by program timeline




Additional minimum qualifications:

* Ph.D. in Electrical Engineering, Optical Sciences/Engineering, Mathematics, Applied Physics, OR related discipline

* Demonstrated experience in RF receiver design and modeling, spectral imager design and modeling, AND/OR signal processing or related disciplines

* Demonstrated ability for independent research with associated publication record

* Demonstrated ability to work in a team environment

* Demonstrated ability to communicate effectively, both verbally and in writing




Preferred qualifications:

* Experience in compressive sensing

* Experience in spread-spectrum/SIGINT receiver design and implementation

* Experience in radar target recognition

* Experience in information theory

* Experience with MATLAB

* Experience in numerical optimization techniques

* Experience with one or more high-level programming languages (C, C++, etc.)




Application procedure are available at www.uacareertrack.com (job number 46112)
  • November 19, 2010, POST-DOCTORAL POSITION IN MATHEMATICS, University of California, Davis

    The Department of Mathematics at the University of California, Davis, is soliciting applications for a Postdoctoral Scholar position with a starting date between March 2011 and October 2011.
    To be considered for the Postdoctoral Scholar position, the Department seeks applicants with a strong knowledge base in Sparse Approximations, Compressive Sensing and/or Optimization. Applicants are required to have completed their Ph.D. by August 31, 2011 (or before the starting date, if the starting date is earlier). The position requires working on research related to two defense-based projects (DTRA/NSF and DARPA), lead by Professor Thomas Strohmer. The research is concerned with developing theory and algorithms for sparse recovery in connection with threat detection and radar. The candidate should also have excellent programming
    skills in Matlab. The annual salary of this position is $60,000, plus some travel funds. The position carries no teaching duties, but teaching may be possible upon request. The appointment is renewable for a total of up to three years, assuming satisfactory performance.

    The UC Davis Math and Applied Math programs have been ranked among the nation’s top programs by the National Research Council in its most recent report. Additional information about the Department may be found at
    http://www.math.ucdavis.edu/. Our postal address is Department of Mathematics, University of California, One Shields Avenue, Davis, CA 95616-8633.
    Applications will be accepted until the positions are filled. To guarantee full consideration, the application should be received by December 15, 2010 by submitting the AMS Cover Sheet and supporting documentation
    (CV, publication list, letters of reference, brief research statement) electronically through http://www.mathjobs.org/.
    The University of California is an affirmative action/equal opportunity employer.
  • November 18, 2010, PhD Studentship, Philips Inc.
    Ph.D. student Compressed Sensing (f/m)
    Job ID 72139
    Location:
    Germany - Hamburg
    Experience Level:
    Less than 1 Year
    Education Level:
    PhD/MD Doctorate
    Type of Function:
    Full-Time Regular
    Travel Percentage:
    0





    Organization Description:
    Philips Research

    Philips Research is the source of many advanced developments in Healthcare, Lifestyle and Technology. Building on 90 years’ experience in industrial research and our world-leading patent position, we’re dedicated to meaningful innovations.

    In the healthcare domain, we are enhancing imaging and monitoring systems, as well as exploring innovative personal healthcare. In lifestyle, we’re helping people see, hear, remember and share content, anywhere and anytime. Our vision focuses on simplicity, making technology an integral – but invisible – part of everyday life.


    .


    Your Responsibilities:
    The position is linked to a larger research project on novel acquisition and
    reconstruction methodology in magnetic resonance imaging, one of the most
    advanced modalities of medical imaging today. A primary goal of this research
    project is to pave the way for further improvements in imaging speed, thus
    enhancing existing and enabling new diagnostic and therapeutic applications
    for this modality. Under the supervision of two experienced scientists and one
    external professor, the candidate will work on demonstrating clinical applicability
    of a new paradigm in signal processing called compressed sensing in magnetic
    resonance imaging.


    Your Profile:
    He or she will focus on overcoming present obstacles for a clinical adoption of
    compressed sensing. This will mainly involve simplifying the acquisition of sparse
    data and accelerating the non-linear, iterative reconstruction of images by advances
    in both, algorithms and platforms.
    The candidate should have experience in at least some of the following fields:

  • Physics or Electrical Engineering
  • Medical imaging physics
  • Numerical mathematics
  • Signal processing
  • Sequential and parallel programming

    In addition, he or she should distinguish him- or herself by
  • Strong self motivation
  • High creativity
  • Scientific ambition
  • Result-driven mindset
  • Good English language skills

    The position is located in Hamburg and limited to 3 years.

  •  * Contacts:
    Annelie-Kristina Mueller
    0049 (0) 40 5078-2835

  • October 25, 2010, PostDoc  announcement at King's College, London:

    Research Associate Division of Imaging Sciences & Biomedical EngineeringG6/MRE/530/10-HH21/11/2010
    SummaryWe are seeking 1 post-doctoral Research Associate for 2 years to participate in a large multi-centre EPSRC funded programme grant (Intelligent imaging: motion, form and function across scale (EPSRC EP/H046410/1), a collaboration between KCL, UCL, Imperial College and The Institute of Cancer Research. The programme focuses on a multidisciplinary medical imaging approach, with the aim of providing clinicians the information they really need. It involves modelling, image processing and registration, and medical imaging physics. This post is part of a work package on improved image reconstruction, in particular MRI reconstruction including motion correction. It will be based in the Division of Imaging Sciences and Biomedical Engineering, a newly created structure in the School of Medicine at King's College London, part of King's Health Partners. It is situated on the 4th floor Lambeth Wing, St Thomas Hospital, one of the leading research hospitals in London. The Division is a unique group made of clinicians, physicists, mathematicians, chemists, biologists, and engineers working on translational research, and it has strong links with industrial partners such as Philips.

    The aim of this post is to develop compressed sensing techniques for motion correction in MRI, but with a view of widening applications within the context of intelligent imaging as described by the grant proposal. More generally, the project might involve techniques beyond standard compressed sensing enabling additional prior information to be used. The compressed sensing might be used to measure motion and provide input for other motion correction developed in the lab, or even maybe directly in a generalised motion and under sampling reconstruction framework. In addition, collaboration with novel acquisition and sampling developments for example using parallel transmit techniques are likely.
    DetailsSome experience in compressed sensing and MRI is required. The ideal candidate would have good knowledge of cardiac MRI, in particular aspects of acquisition and reconstruction, as well as general image reconstruction and processing techniques. Some experience of parallel MRI and parallel transmit MRI is desirable. This post is part of a large programme grant involving multiple imaging modalities, disciplines (maths, physics, medicine, biology) and institutions (UCL, KCL, Imperial College, Oxford), thus the candidate should also have the personal qualities required to work in such an environment.
    SalaryThe salary will be on grade 6: from £30,747 to £33,599 plus £2323 London allowance per annum, depending on experience.
    Post durationtwo years
    ContactFor an information pack please see further details. Please quote reference G6/MRE/530/10-HH when applying and in all correspondence. Closing date: 17 October 2010 Creating a world-leading Academic Health Sciences Centre. Equality of Opportunity is College Policy.
    Further detailsPlease see related Word document
  • October 9th, 2010, Postdoctoral Research Assistant: Sparse Representations for Audio Signals

    Centre for Digital Music

     Queen Mary University of London

    Applications are invited for a Postdoctoral Research Assistant to work on the EPSRC project "Machine Listening using Sparse Representations". The aim of this multi-person project is to investigate the automatic analysis and understanding of real-world sounds, using sparse representations and related methods.

    The purpose of this particular post is to explore and develop underlying theory and efficient algorithms for sparse representations of audio, such as: efficient sparse recovery algorithms; sparse dictionary learning; compressed sensing of audio; application of sparse representations to the analysis of real-world sounds; and (optionally) to investigate parallels between sparse representations and biological processing of audio signals.

    The project is based in the Centre for Digital Music (C4DM) at Queen Mary, University of London. C4DM is a world-leading multidisciplinary research group in the field of Digital Music & Audio Technology, and is part of the School of Electronic Engineering and Computer Science (EECS). Details about the School can be found at www.eecs.qmul.ac.uk, and about the Centre for Digital Music at www.elec.qmul.ac.uk/digitalmusic.

    The post is full time for 24 months starting from 1st December 2010 or as soon as possible thereafter. Starting salary will be in the range £30,229 - £33,659 per annum inclusive of London Allowance. Benefits include 30 days annual leave, final salary pension scheme and interest-free season ticket loan.

    Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.

    Informal enquiries should be addressed to the Prof Mark Plumbley at mark.plumbley@elec.qmul.ac.uk.

    Details about the School can be found at www.eecs.qmul.ac.uk. Further details and an application form can be found at: www.hr.qmul.ac.uk/vacancies (http://webapps.qmul.ac.uk/hr/vacancies/jobs.php?id=1999).

    To apply for this position, please email the following documents to Ms Julie Macdonald at applications@eecs.qmul.ac.uk: Completed application form quoting reference number 10371/CE; a CV listing all publications; a pdf of a representative publication and a research statement describing your previous research experience, outlining the relevance to this project. Postal applications should be sent to Ms Julie Macdonald, School of EECS, Queen Mary University of London, Mile End Road, London, E1 4NS.

    The closing date for applications is 12 noon on Wednesday 27th October 2010. Applications received after this time may not be considered.

    *Please note that applications will be rejected if they do not include a completed QMUL application form.*

    Interviews are expected to be held on 11 November 2010.

    Valuing Diversity & Committed to Equality
  • October 1, 2010. Postdoc position,:"Optical Inverse Problem Solving in 3-D Deflectometry”

    (starting date: January 1st, 2011, application deadline: November 12th, 2010. )

    Advisors:

  • Dr Laurent Jacques (ICTEAM-TELE, UCL)
  • Prof. Philippe Antoine (IMCN, UCL)
  • Prof. Benoît Macq (ICTEAM-TELE, UCL)

Optical Framework:

Improved functional performance is a general trend in ocular surgery today. As an example, multifocal intraocular lens (IOL) achieves different optical powers, as such to enable good near and distant vision. There are two types of multifocal lenses. A refractive multifocal lens is made of concentric rings whose refractive powers alternate from centre to periphery. Diffractive multifocal lens uses light diffraction at an interference grid made of micrometric steps. Such complex surfaces are a real challenge both for manufacturing and for characterization.

This position opening takes place in a 3-year regional project (DETROIT), funded by the Belgian Walloon Region. This project aims at characterizing surfaces by optical deflectometry. The principle is to measure the deviation of the light reflected by each point of the surface. This technique is an interesting alternative to interferometry in order to estimate the surface topography. Indeed measuring the deviation angle instead of the height has several advantages. It is insensitive to vibrations as it is not based on interferences. It is more effective in detecting local details and object contours than height measurement. In deflectometry, the shape of an object is numerically reconstructed from the gradient data with a high accuracy. As an example, 10nm flatness deviation over a 50mm window glass can be observed with high accuracy instrument.

Experimentally, the very short radius of curvature of the IOLs requires the use of wide acceptance optics as such to collect light that is reflected in a large range of angles. The drawback is the very narrow field of view. In order to reduce the acquisition time, a device that images the whole lens shall be preferred but inevitable distortion of the image will be numerically corrected based on the knowledge of instrument response. This solution is challenging but very attractive for industrial perspectives.

Numerical Methods:

Nowadays, assuming that a signal (e.g., a 1-D signal, an image or a volume of data) has a sparse representation, namely that this signal is linearly described with few elements taken in a suitable basis, is an ubiquitous hypothesis validated in many different scientific domains. Interestingly, this sparsity assumption is the heart of methods solving inverse problems, namely those estimating a signal from some linear distorting observations. Sparsity stabilizes (or regularizes) these signal estimation techniques often based on L1-norm (or Total Variation norm) minimization and greedy methods.

This postdoc position concerns the application of the sparsity principle for modeling and solving the optical inverse problem described in the previous section, that is, the reconstruction of the undistorted image of the IOL from the experimental measurements.

Job description:

The postdoc will be in charge of the numerical reconstruction development of the undistorted IOL image from the experimental measurements, taking into account (and modeling) the particularities of the sensing systems. Calibration of the response of the instrument will be carried out by another partner of the project. However, a close collaboration between the two teams is necessary. Moreover, the postdoc will co-supervise a PhD student working on the same topic and funded by the same project.

The optical development takes place in the 3-year project DETROIT. It involves two industrial partners, Physiol and Lambda-X and 3 university partners. Physiol is well-known for its development of IOL. Lambda-X has a large experience in optical characterization of optical components by means of deflectometry. The leading academic partner is the Atomic, Molecular and Optical Physics Laboratory (IMCN-PAMO) of University of Louvain (UCL, Louvain-la-Neuve, Belgium), helped by two other Belgian university partners: the Active Structures Laboratory of the University of Brussels (ASL, ULB), in charge of the development of fast adaptive optics, and the Communications and Remote Sensing laboratory (ICTEAM-TELE, UCL) which is responsible of the IOL image reconstruction and post-processing algorithms.

Research activity will be carried out in the ICTEAM-TELE Laboratory, and partly at IMCN-PAMO and at Lambda-X offices in Nivelles, Belgium.

Candidate's Profile:

PhD in Physics, Electrical Engineering, Computer Science or Applied Mathematics; Good knowledge of signal/image processing and classical optics are mandatory; Knowledge (even partial) in the following topics constitutes assets: Multispectral Imaging, Coded Aperture, Spatial Light Modulator, Convex Optimization methods, Sparsity Models, Image DeNoising and Debluring, Compressed Sensing. Programming experience with Matlab, C and/or C++. Good communications skills, both written and oral; Speaking fluently in English or French is required. Writing in English is mandatory.

We offer:

  • A research position in a dynamic and advanced high-tech environment, working on leading-edge technologies in collaboration with industrial partners.
  • 1-year contract (starting date: 1/1/2011)
  • gross salary range: 35 000 - 45 000 Euros

Application:

Applications should include a full CV, including list of publications, and must be sent before November 12th, 2010.

Names and complete addresses of referees are welcome.

Please send applications by email to (and replace _DOT_ and _AT_):

	laurent _DOT_ jacques _AT_ uclouvain _DOT_ be
ph _DOT_ antoine _AT_ uclouvain _DOT_ be

Questions about the subject or the position should be addressed to the same email address.

  • September 27th, 2010, Three postdoctoral positions at the Seismic Laboratory for Imaging and Modeling (SLIM) of the University of British Columbia, Vancouver, BC, Canada

    Project:
    DNOISE is a 5-year NSERC and industry-funded project for research in seismic data acquisition, processing, and imaging. Our interdisciplinary approach builds on recent developments in compressive sensing, large-scale optimization, and full-waveform inversion from severely sub-sampled data. The project includes 10 graduate students, 3 postdocs, and a research associate. The postdoctoral positions, under supervision Felix J. Herrmann (Earth and Ocean Sciences), Ozgur Yilmaz (Mathematics), and Michael P. Friedlander (Computer Science), are available immediately. 

    Description:
    The aim of the DNOISE project is to design the next generation of seismic imaging technology to address fundamental issues related to the quality and cost of seismic data acquisition, the ability to invert exceedingly large data volumes, and the capacity to mitigate non-uniqueness of full-waveform inversion.

    You will be part of a dynamic interdisciplinary research group and will present your research at international conferences and to industry. You will also be involved in industry collaborations that include internships and projects on real field data. You will have extensive contact with graduate students, fellow postdocs, and faculty. We seek excellence in any of a wide variety of areas, spanning from theory, algorithm design, to concrete software implementations to be applied to field data. SLIM has state-of-the-art resources, including a 288 CPU cluster, Parallel Matlab, and seismic data-processing software.

    Successful candidates will have a PhD degree obtained in 2008 or later in geophysics, mathematics, computer science, electrical engineering, or a related field, with a strong achievement record in at least one of the following areas: seismic imaging, inverse problems, PDE-constrained optimization, signal processing, sparse approximation and compressed sensing, convex optimization, and stochastic optimization. Earlier PhDs will be considered where the research career has been interrupted by circumstances such as parental responsibilities or illness. UBC hires on the basis of merit, and is committed to employment equity. Positions are open to individuals of any nationality.

    Compressive seismic-data acquisition. Development of practical seismic acquisition scenarios, sigma-delta quantization, and experimental design for seismic inversion.
    Full-waveform inversion. Development of PDE-constrained optimization algorithms that deal with large data volumes and that remedy the non-uniqueness problem.
    Large-scale optimization. Development of optimization algorithms and software for sparse approximation and problems with PDE-constraints.

    About UBC and Vancouver:
    The University of British Columbia, established in 1908, educates a student population of 50,000 and holds an international reputation for excellence in advanced research and learning. Our campus is 30 minutes from the heart of downtown Vancouver, a spectacular campus that is a 'must-see' for any visitor to the city -- where snow-capped mountains meet ocean, and breathtaking vistas greet you around every corner. 

    How to apply: Applicants should submit a CV, a list of all publications, and a statement of research, and arrange for three or more letters of recommendation to be sent to Manjit Dosanjh (MDOSANJH@eos.ubc.ca). All qualified candidates are encouraged to apply; however, Canadians and Permanent Residents will be given priority. For more information, see: http://slim.eos.ubc.ca
  • September 27th, 2010, Ten graduate students at the Seismic Laboratory for Imaging and Modeling (SLIM) of the University of British Columbia

    Project:
    DNOISE is a 5-year NSERC and industry-funded project for research in seismic data acquisition, processing, and imaging. Our interdisciplinary approach builds on recent developments in compressive sensing, large-scale optimization, and full-waveform inversion from severely sub-sampled data. The project includes 10 graduate students, 3 postdocs, and a research associate. Subject to admission by the faculty of graduate studies, prospective students can start as early January 1st, 2011 under supervision of Felix J. Herrmann (Earth and Ocean Sciences), Ozgur Yilmaz (Mathematics), or Michael P. Friedlander (Computer Science).

    Description:

    The aim of the DNOISE project is to design the next generation of seismic imaging technology to address fundamental issues related to the quality and cost of seismic data acquisition, the ability to invert exceedingly large data volumes, and the capacity to mitigate non-uniqueness of full-waveform inversion.

    You will be part of a dynamic interdisciplinary research group and will present your research at international conferences and to industry. You will also be involved in industry collaborations that include internships and projects on real field data. 
    You will have extensive contact with fellow graduate students, postdocs, and faculty. We seek excellence in any of a wide variety of areas, spanning theoretical, algorithmic, and software development. A good background in mathematics is important.

    The graduate funding is for two years for MSc students and four years for PhD students and includes generous funding for travel. PhD student funding includes a tuition waiver. 

    Successful candidates will join the PhD or MSc programs in one of the following departments at UBC: Earth and Ocean Sciences, Mathematics, or Computer Science. At SLIM you will have state-of-the art resources available, including a 288 CPU cluster, Parallel Matlab, and seismic data-processing software. 

    About UBC and Vancouver:
    The University of British Columbia, established in 1908, educates a student population of 50,000 and holds an international reputation for excellence in advanced research and learning. Our campus is 30 minutes from the heart of downtown Vancouver, a spectacular campus that is a 'must-see' for any visitor to the city -- where snow-capped mountains meet ocean, and breathtaking vistas greet you around every corner. 

    How to apply: Please send a CV, cover letter, and  academic transcripts to Manjit Dosanjh (MDOSANJH@eos.ubc.ca). For more information, see: http://slim.eos.ubc.ca
  • September 16, 2010. Postdoctoral Position in Compressive Sensing at the University of Arizona 

    A Post-doctoral position in compressive sensing is available at the University of Arizona. The researcher will be working on the DARPA Knowledge Enhanced Compressive Measurement (KECoM) project.

    Position title: Postdoctoral Research Associate I

    Posted rate of pay: DOE

    Category: Appointed: Professional

    Job close date: Open until filled

    Full time/Part time: Full time

    Limited to current UA employees only: No

    Documents required to be attached electronically with this application: Letter of Interest, Curriculum Vitae

    Position summary: The DARPA Knowledge Enhanced Compressive Measurement (KECoM) project has the primary goals of 1) developing a mathematical framework for incorporating prior knowledge of tasks and observed signals into the design of compressive sensors, and 2) applying this framework to relevant sensing modalities. The UA anticipates a KECoM award to support investigation of information-theoretic techniques for sensor optimization under prior knowledge, as well as application to a compressive spread-spectrum receiver, a compressive radar transmitter/receiver, and a compressive spectral imager.

    • Two to three postdoctoral researchers will be hired for the DARPA KECoM effort
    • Occasional travel may be required
    • Original postdoctoral appointment is for one year with renewal possible for up to a total of three years

     

    Duties and responsibilities:
    • Provide advanced technical expertise in RF compressive receiver design/engineering OR compressive spectral imager design/engineering
    • Provide advanced technical expertise in compressive sensor modeling AND/OR hardware demonstration systems
    • Day-to-day technical supervision of other UA program technical staff
    • Periodic reporting and documentation as required by program timeline

    Arizona Board of Regents minimum qualifications: Not applicable for this position.

    Additional minimum qualifications:

    • Ph.D. in Electrical Engineering, Optical Sciences/Engineering, Mathematics, Applied Physics, OR related discipline
    • Demonstrated experience in RF receiver design and modeling, spectral imager design and modeling, AND/OR signal processing or related disciplines
    • Demonstrated ability for independent research with associated publication record
    • Demonstrated ability to work in a team environment
    • Demonstrated ability to communicate effectively, both verbally and in writing

     

    Preferred qualifications:
    • Experience in compressive sensing
    • Experience in spread-spectrum/SIGINT receiver design and implementation
    • Experience in radar target recognition
    • Experience in information theory
    • Experience with MATLAB
    • Experience in numerical optimization techniques
    • Experience with one or more high-level programming languages (C, C++, etc.)

     

    Job category: Postdoctoral research; Research

    Additional information and application procedure are available at www.uacareertrack.com. Search for job number 46112.

  • September 10th, 2010Job Openings at InView Technology Corporation, Austin, TX

    InView is a manufacturer of CS based cameras and hyperspectral imagers, and is commercializing the research results of Rich Baraniuk and Kevin Kelly at Rice University. We are looking to fill a number of positions, especially a CS Signal Processing expert. Please see http://www.inviewcorp.com/careers.html

  • September 10th, 2010, Compressed Sensing Scientist / 9month Research Project 2011
    We seek to collaborate with a scientist for a research project proposal.
    The Research Task is as follows:

    Contributors are sought to significantly advance the through-put and efficiency of collecting large amounts of useful data through novel, mission prioritized data acquisition and compression capabilities, without loss of signal integrity.

    Potential topics for consideration include, but are not limited to, the following:
    - Algorithm development or improvement allowing for user-defined prioritization of lossless data compression or extraction
    - Computational methods that assist in mission prioritized data collection, transmission or transfer
    - Development of machine learning methods to reduce total data collection
    - Investigation into compressed sensing techniques applicable for very large data collections

    If granted this project, a 9month payed task would be awarded. Our response, in form of 'Proposal' is due Sept 15. v/r, Eric
  • July 22th, 2010, Post-doc in Paris. A 12-month postdoc position will be available at the Langevin Institute, Paris (France), on the topic of Model-based phase reconstruction of audio signals from magnitude spectrograms.

    This position is open in the framework of the ANR DREAM collaborative project, that develops new technologies for active music listening, funded by the french Agence Nationale de la Recherche. The goal of this post-doc is to revisit the classic problem of phase reconstruction from magnitude spectrograms, that has attracted a lot of effort since the pioneering work of Griffin and Lim, in view of recent advances in sound modeling : sparse representations, high-resolution sinusoidal models, etc. After a thorough review of the state-of-the-art in phase reconstruction techniques, the post-doctoral student will investigate how some a priori knowledge about sound sources can be used into reconstruction algorithms, in order to improve and accelerate their convergence. Possible applications of this work include audio spectral enhancement, blind source separation, and a link with theories of compressive sensing and Non-negative Matrix Factorization.

    Candidates should hold a Ph.D in Signal Processing, or related domain, with some mandatory experience in audio (speech / music) processing. Good programming skills (Matlab) and ability to work independently are required. A prior research experience in sparse representations and/or time-frequency transforms would be desirable.

    Applications (detailed CV, list of publications, name and email of 2 references) or informal enquiries should be made before August 31st, 2010, to
    Professor Laurent DAUDET
    laurent.daudet@espci.fr (preferred)
    Tel : +33 1 40 79 52 16

    Salary : net amount about 1950 Euro / month

    Start date : preferably January 1st, 2011 (negotiable).

    The Langevin Institute is a physics laboratory that investigates all aspects of waves (acoustics / optics), attached to the prestigious ESPCI engineering school. It is centrally located in the vibrant 5th "arrondissement" of downtown Paris.
  • July 8th, 2010, Research Scientist
    Company     Siemens Corporate Research

    Division     SCR - Siemens Corporate Research
    Functional Area     RD - Research & Development
    Location     NJ - Princeton
    Req ID     90602
    Job Type     Regular
    Job Time     Full-Time
    Experience Level     Mid Level
    Required Education     Doctorate Degree
    Required Travel     10%

    Company Description

    ABOUT SIEMENS CORPORATE RESEARCH:

    Siemens Corporate Research (SCR), a division of Siemens Corporation, located in Princeton, New Jersey (USA) is Siemens’ largest research center outside of Europe. For more than thirty years, leading organizations in the private and public sectors have turned to the company for its expertise in breaking down barriers to innovation and delivering real business value. With more than 250 scientists, engineers, and technical experts, the company helps its customers and strategic partners grow their businesses in the fields of healthcare, automation, production, energy, industry, information and communications. SCR offers a stimulating research environment and rewarding career opportunities.

    Siemens is an Equal Opportunity Employer encouraging diversity in the workplace.

    Job Description



    We have an immediate opening for a research scientist in the field of Computational Imaging, Image Science, Inverse Problems in Imaging with a focus on signal / image recovery and reconstruction. The candidate will have extensive knowledge and experience in Numerical methods, Optimization, Statistical Signal / Image recovery, Digital Image and Signal Processing. The ideal candidate will have a strong theoretical background, excellent oral and written communication skills, awareness of the state-of-the-art and the ability to realize the theory to provide working solutions for commercial, scientific or industrial applications.

    Responsibilities:
    - Research image and data analysis techniques to advance the state-of-the-art, including publication in top journals and conferences
    - Apply image and data analysis methods to real world problems
    - Quick prototyping, feasibility studies, specification and implementation of data analytics software product components
    - Work with customers to understand algorithm requirements

    Essential Skills and Qualifications:
    - Ph.D. in Electrical Engineering, Computer Science, Applied Mathematics or related discipline
    - 5-8 years of work experience in related field and successful demonstration of Key Responsibilities
    - Proven ability to develop new research ideas and early developments to the level of a working system prototype
    - Strong theoretical & practical background in Applied Mathematics, Optimization, Signal Processing, Statistical Image Models, Pattern Recognition and Machine Learning
    - Good experience working in Medical Imaging domain. Knowledge in MRI physics and MRI signal processing, Parallel Imaging is a plus
    - Ability to quickly prototype in Matlab/C/C++. GPU programming experience is a plus
    - Outstanding written and verbal communication skills
    - Excellent interpersonal skills and can do attitude
    - Ability to work independently and prioritize work
    - Strong collaboration skills and ability to thrive in a fast-paced environment
    - Flexibility and adaptability to work in a growing, dynamic team

    Siemens Corporate Research (SCR), a division of Siemens Corporation, is Siemens' largest research center outside of Europe. For more than thirty years, leading organizations in the private and public sectors have turned to the company for its expertise in breaking down barriers to innovation and delivering real business value. With more than 250 scientists, engineers, and technical experts, the company helps its customers and strategic partners grow their businesses in the fields of healthcare, automation, production, energy, industry, information and communications. SCR offers a stimulating research environment and rewarding career opportunities.

    Siemens is an Equal Opportunity Employer encouraging diversity in the workplace.
    EOE/AA/MFDV
  •  July 6th, 2010, Post-Doc, Crete, Greece. FOUNDATION FOR RESEARCH AND TECHNOLOGY - HELLAS (FORTH)
    INSTITUTE OF COMPUTER SCIENCE
    Postal address: N. Plastira 100, GR-700 13 Heraklion, Crete, Greece
    Tel.: +30 2810 391730, Fax: +30 2810 391601, Email: ics@ics.forth.gr, URL: www.ics.forth.gr
    Building a competitive Greece
    MINISTRY OF DEVELOPMENT, GENERAL SECRETARIAT FOR RESEARCH AND TECHNOLOGY
    Project: CS-ORION: An FP7-PEOPLE-IAPP EU-funded project at FORTH-ICS
    Position: Post-doctoral researcher
    Start date: Fall (Sept-Nov) 2010
    Duration: 24 months
    Salary: 39.000-42.000 €/year (gross income depending on family status)
    Description:
    The Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science (ICS) at the Foundation for Research and Technology-Hellas (FORTH), is seeking recent PhD graduates for a post-doctoral position in the general field of Compressed Sensing-CS. The successful candidate will have the opportunity to work on one or more of the following topics:
    CS for remote imaging in aerial and terrestrial surveillance, CS for video representation and coding, and compressed radar imaging.
    The successful candidate will be offered the opportunity to:
    * Have access to laboratory space and significant resources, and interact with researchers
    from other FORTH-ICS labs.
    * Work within a team with a strong international flavour including many researchers of non-Greek origin.
    * Collaborate with academic and industrial partners in Greece, France, and the US.
    * Work on a research subject which best fits his/her background and future goals, within the general areas described above.
    Required skills:
    * A PhD in computer science, electrical engineering, or related field.
    * Background in image and/or video processing, especially in the area of sparse
    approximation and compressive sensing and the ability to perform original research, as evidenced by a strong publication record.
    * Excellent programming skills in Matlab and/or C/C++.
    Eligibility:
    * Recent PhD graduates (less than 10 years after obtaining their BS degree).
    * Non-Greek nationals, who have not resided in Greece more than 12 months in the 3 years prior to the appointment.
    * Greek nationals who have resided and held their primary activities outside the EU and its Associated Countries for at least 3 of the last 4 years.
    * FORTH is an equal opportunity employer; female candidates are particularly encouraged to apply.
    About FORTH-ICS:
    FORTH is the premier research institution in Greece, housed in a new state-ofthe-
    art building in the middle of olive groves, located in Heraklion, Crete, Greece. FORTH has a long successful history of attracting international scholars to Crete, as evidenced by the significant size of its research community with a non-Greek origin. FORTH-ICS has established itself as an internationally known and highly competitive research institute, with a modern infrastructure and a broad range of research & development (R&D) and educational activities.
    To apply, please send a cover letter and a CV to Prof. Tsakalides.
    Contact: P. Tsakalides, e-mail: tsakalid@ics.forth.gr, http:// www.ics.forth.gr/~tsakalid
  • July 5th, 2010, Post-doc position, Adaptive penalized estimators with structuted sparsity, CAEN, FRANCE
    Applications are invited for a one-year post-doc on adaptive penalized estimators with structuted sparsity, starting from September 2010. This post-doc is funded by the ANR (french science foundation) project NatImages on mathematical modeling of natural images and textures, see :http://www.morphologicaldiversity.org/natimages/
    Contact
    To apply, candidates should address a detailed CV and other relevant information (e.g. reference letters) by email or by post to the principal investigator. Questions about the subject or the position should be addressed to :
    Principal investigator: Jalal Fadili,
    GREYC UMR CNRS 6072
    ENSICAEN, 6, Bd du Mar´echal Juin
    14050 Caen CEDEX, France
    Email : Jalal.Fadili@greyc.ensicaen.fr
    URL : |http://www.greyc.ensicaen.fr/~jfadili
    Co-investigator: Christophe Chesneau,
    LMNO UMR CNRS 6139
    Universt´e de Caen Basse-Normandie, Campus II
    14032 Caen CEDEX, France
    Email : Christophe.Chesneau@math.unicaen.fr
    URL : http://www.chesneau-stat.com
    Project description
    Structured sparsity goes beyond traditional sparsity by exploiting a priori information on the structure of the sought after signal (e.g. group or block structure). This is for example the case of natural image whose coefficients in an appropriate sparse representation domain tend to cluster, hence exhibiting a strong joint sparsity structure. In the very recent literature, estimators exploiting structured sparsity have been proposed and their performances and properties investigated. However, adaptativity in such estimators remains an unexplored area. The main focus of this post-doc will be structured sparsity for a wide variety of problems including, but not limited to, regression and inverse problems. Some specific milestones of this work will be :• For structured sparsity, adaptive and automatic choice of the model hyperparameters, e.g. block size, position and even anisotropy for group-structured sparsity.
    • Study the theoretical performance of such estimators and their guarantees for both fixed and random dictionaries.
    • There will be also an important part on optimization schemes for such models where the objectives are generally non smooth.
    Candidate profile and pre-requisites
    Candidates must hold a PhD in applied mathematics, statistics or signal and image processing. A good background would be a must in one or several of the following areas : functional statistics, applied harmonic analysis, non smooth optimisation (convex and non convex). Good programming skills are also required typically in Matlab, R, C or C++.
  • June 29, 2010, Open Postdoc Positions in Bandits and Reinforcement Learning at INRIA Lille

    The project team SEQUEL (Sequential Learning) of INRIA Lille, France, sequel.lille.inria.fr/ is seeking to appoint several Postdoctoral Fellows. We welcome applicants with a strong mathematical background who are interested in theory and applications of reinforcement learning and bandit algorithms.
    The research will be conducted under the supervision of Remi Munos, Mohammad Ghavamzadeh and/or Daniil Ryabko, depending on the chosen topics.

    The positions are research only and are for one year, with possibility of being extended.
    The starting date is flexible, from the Fall 2010 to Spring 2011.

    INRIA is France’s leading institution in Computer Science, with over 2800 scientists employed, of which around 250 in Lille. Lille is the capital of the north of France, a metropolis with 1 million inhabitants, with excellent train connection to Brussels (30 min), Paris (1h) and London (1h30).
    The Sequel lab is a dynamic lab at INRIA with over 25 researchers (including PhD students) which covers several aspects of machine learning from theory to applications, including statistical learning, reinforcement learning, and sequential learning.

    The positions will be funded by the EXPLO-RA project (Exploration-Exploitation for efficient Resource Allocation), a project in collaboration with ENS Ulm (Gilles Stoltz), Ecole des Ponts (Jean Yves Audibert), INRIA team TAO (Olivier Teytaud), Univ. Paris Descartes (Bruno Bouzy), and Univ. Paris Dauphine (Tristan Cazenave).
    See: sites.google.com/site/anrexplora/ for some of our activities.

    Possible topics include:

    * In Reinforcement learning: RL in high dimensions. Sparse representations, use of random projections in RL.
    * In Bandits: Bandit algorithms in complex environments. Contextual bandits, Bandits with dependent arms, Infinitely many arms bandits. Links between the bandit and other learning problems.
    * In hierarchical bandits / Monte-Carlo Tree Search: Analysis and developement of MCTS / hierarchical bandit algorithms, planning with MCTS for solving MDPs
    * In Statistical learning: Compressed learning, use of random projections, link with compressed sensing.
    * In sequential learning: Sequential prediction of time series

    Candidates must have a Ph.D. degree (by the starting date of the position) in machine learning, statistics, or related fields, possibily with background in reinforcement learning, bandits, or optimization.

    To apply please send a CV and a proposition of research topic to remi.munos@inria.fr or mohammad.ghavamzadeh@inria.fr, or daniil.ryabko@inria.fr.

    If you are planning to go to ICML / COLT this year, we could set up an appointment there.

    Read more: http://scholarshipdb.com/postdoc-positions-bandits-reinforcement-learning-inria-lille.html#ixzz0sEEAaILi
  • June 16, 2010Research Scientist-Inversion Methods
        Job Description ExxonMobil’s Corporate Strategic Research laboratory is seeking applications from talented individuals in physics, applied mathematics, or engineering with a strong record of achievements in fields related to non-linear inversion, compressive sensing, and their associated mathematical and numerical methods. Specific position is in the following areas of interest:

        Research Scientist – Inversion methods and compressive sensing. Position involves developing algorithms involved in large-scale non-linear inversion. Candidates with experience with the mathematics of compressive sensing, signal/image processing, denoising, sub-Nyquist signal reconstruction, and sparse representation of data desired.

        Job Requirements:

        Applicants should have a Ph.D. in applied mathematics, physics, engineering, geophysics, or a related field, with a strong ability in their field of expertise. Proficiency with scientific programming languages and experience with large-scale, parallel, numerical simulations are definite advantages. The ability to communicate and interact with internal and external groups will be an important selection criterion. Candidates should have a strong publication record, excellent oral presentation and writing skills, and show a desire and ability to grow into new science areas.

        The successful candidate will join a dynamic, multi-disciplinary group of world-class scientists who focus on performing breakthrough research and creating new approaches to solve our most challenging problems. Technical staff members in this position implement and report on independent research, participate in program development, as well as collaborate internationally with leading engineers and scientists from industry, universities, and other technical institutions.

        ExxonMobil’s Corporate Strategic Research (CSR) laboratory is a powerhouse in energy research focusing on fundamental science that can lead to technologies having a direct impact on solving our biggest energy challenges. Our facilities are centrally located in scenic Annandale, New Jersey, approximately one hour from both New York City and Philadelphia.

        ExxonMobil offers an excellent working environment and a competitive compensation and benefits package.

        ExxonMobil is an Equal Opportunity Employer
        Job Location Clinton, NJ

  • May 20, 2010 Requisition # G1880018
    Job Title Sr Systems Engineer Algorithms / Corporate R&D
    Post Date 5/20/2010
    Division Corporate Research & Development
    Job Area Engineering - Systems
    Location California - San Diego
    Job Function QUALCOMM Corporate R&D has a mission to advance wireless and mobile communications to create compelling user experience with next generation mobile devices. We seek a Systems Engineer with demonstrable knowledge and experience in algorithms and modeling, embedded device architecture, protocols and system design.

    We expect our systems engineers to keep up to date and understand technological advances in areas directly and indirectly related to mobile and wireless systems and devices and channel those trends toward enabling new applications. To that end, the responsibilities include developing new system architectures, protocols, services, standards, middleware or hardware enhancements. Skills/Experience
  • Algorithm design and analysis
  • Statistics and data mining
  • Machine learning/robotics
  • Data modeling and analysis
  • Graph theory and information theory
  • Real-time, embedded and/or distributed systems
  • Mobile and/or hardware optimizations
  • Sensor data analysis and compressed sensing
Responsibilities Candidates will be providing deep understanding and expertise in algorithms, data acquisition, data modeling and analysis.

Will also work in information theory, compressed sensing, theory and practice of machine learning, communication systems, automatic control systems.

Implementation and architecture of mobile platforms, including special purpose hardware engines, data buses and power management.
Education Requirements Required: Master's, Computer Engineering and/or Computer Science and/or Electrical Engineering
Preferred: Doctorate, Computer Engineering and/or Computer Science and/or Electrical Engineering
  • May 13, 2010, Faculty Position in Optimization and Applications at U. of Wisconsin-Madison

    The Wisconsin Institute for Discovery (WID) at the University of Wisconsin-Madison (www.discovery.wisc.edu) invites applications for faculty openings in Optimization and its Applications. The WID optimization theme aims to develop and apply optimization technology to systems-level problems emerging in science and engineering applications in an interdisciplinary, integrative, and collaborative fashion.
    Collaborations with biology and medical researchers will be a focus. Our interests encompass (but are not limited to): (i) Development of core optimization technology and large scale computational methodology;
    (ii) Planning techniques for medical treatment that exploit unfolding understanding of the physical system; (iii) Applications of simulation and stochastic optimization techniques; (iv) Use of optimization and statistical methods to understand and predict systems phenomena, even when competition exists between entities; (v) Sparse optimization and image reconstruction leveraging compressed sensing frameworks, optimization algorithms, and powerful computational platforms.

    Opportunities are available at the Assistant, Associate or Full Professor level. Successful candidates will occupy a new state-of-the-art and centrally located WID research facility specifically designed to spark and support cross-disciplinary collaborations. WID is the public half of an exciting public-private pair of Institutes that will promote basic research and facilitate the translation of new discoveries to practice.

    Each successful candidate will be appointed to the department of the University that most appropriately matches their experience and interests. The candidate will be expected to develop a vigorous, independent research program; attract and maintain extramural funding for their research program; teach undergraduate and/or graduate courses; develop new course(s) in their area of expertise as appropriate; supervise graduate and postgraduate research; participate in faculty governance activities in the department, college and/or University; and actively engage with the national and international scientific community.

    Applicants must submit a cover letter, curriculum vitae, statement of teaching interests, and a statement of current and future research plans related to optimization and its applications. The full application, submitted as a PDF should not exceed 10 pages. In addition, three references from persons knowledgeable with the applicant’s research, leadership and/or teaching abilities must be separately supplied through the website at: https://oberon.cs.wisc.edu/Recruiting/

    Further details are available at: http://www.ohr.wisc.edu/pvl/pv_063829.html

  • March 7, 2010. Research Associate in Compressed Sensing SAR, Edinburgh School of Engineering:

    Vacancy details

        * Vacancy Reference: 3012541
        * Department: School of Engineering
        * Job Title: Research Associate in Compressed Sensing SAR
        * Job Function: Academic
        * Job Type: Full Time
        * Live Date: 04-Mar-2010
        * Expiry Date: 04-Apr-2010
        * Salary Scale: £25,001 - £28,983
        * Internal job: No. Anybody can apply for this position.
        * Further Information: Further Information
        * Conditions Of Employment: View Conditions of Employment

    School of Engineering: Research Associate in Compressed Sensing SAR

    This post is to investigate a compressed sensing coding techniques for use in Synthetic Aperture Radar (SAR) remote sensing applications.

    The purpose of "Compressed sensing SAR" is to provide SAR imaging with a superior compression system that has the capability of practically transmitting large quantities of SAR data to the receiving station over restricted bandwidth with minimal on board computation. The communication or data storage bottleneck is a key factor currently limiting coverage and/or resolution in SAR instruments. Our unique approach to addressing this problem is to utilize the new concept of "compressed sensing" to remove this bottleneck. Compressed sensing has the potential to provide a compression scheme that is bandwidth efficient while requiring minimal on-board processing. The project will explore the feasibility of such a technique and design and evaluate a proof of concept compression system. In addition, you will have the opportunity to work closely with other members of the sparse representations research group within the Institute for Digital Communications.

    You will have a PhD (or have recently submitted) or equivalent in engineering, computer science or related discipline, and have a strong background in signal processing. The appointment will be for 18 months starting on 1st April 2010 or as soon as possible thereafter.

    Fixed Term: 18 months 
  • March 3, 2010. Joint Postdoc Position at Rice University and University of Houston

    The Department of Computational and Applied Mathematics at Rice University and the Department of Electrical and Computer Engineering at the University of Houston invite applications for a joint postdoctoral research associate position.

    The initial term of appointment is one year with a possible 2nd/3rd year extension. The term of appointment will begin on or after August 1, 2010. University of Houston will be the primary host during the first year. The salary will be competitive.
    Research fields

    The focus of the research is on compressed sensing, machine learning, optimization, as well as their applications especially in signal processing and wireless communications.

    For more information on related research, see:

        * wireless.egr.uh.edu
        * www.caam.rice.edu/~optimization/L1/
        * dsp.rice.edu/cs

    Qualification

    Candidates should have finished a PhD in applied/computational mathematics, electrical engineering, statistics, operations research, or a related field by August 2010 or the time of appointment and no earlier than December 2006.
    City of Houston

    Rice University and University of Houston are located 4 miles apart in Houston. For more information on Houston, which was recently ranked #1 city in the US to live, work, and play, see: www.kiplinger.com/features/archives/2008/05/2008-best-city-houston.html
    Contact

    Applicants should send a letter of application, current vita, and descriptions of research plans to both wyin AT rice.edu and zhan2 AT mail.uh.edu. At least three letters of reference will be required.

    Rice University and the University of Houston are Affirmative Action, Equal Opportunity institutions.
  • Feb 16th, 2010. Postdoctoral Research, EPFL, BASP NODE ANNOUNCEMENT for a POSTDOCTORAL POSITION at LTS2:

    Announcement February 2010.

    In the context of new funding obtained by Dr Y. Wiaux at the Swiss National Science Foundation (SNSF) for the BASP research node, a two-year postdoctoral position is available as soon as in April 2010, on the theme "Compressed sensing imaging techniques for radio interferometry". This position will be hosted by the Signal Processing Laboratory 2 (LTS2) of the Signal Processing Laboratory (SP Lab) in the Institute of Electrical Engineering (IEL) of EPFL.

    The position is opened to any dynamic and highly qualified candidate, Ph.D. in Electrical Engineering, Physics or equivalent and with a strong background in signal processing. Competence in programming (MATLAB, C) is required. Knowledge of compressed sensing, signal processing on the sphere, or radio-interferometric imaging is a plus. The successful candidate will be in charge of the collaborations between the BASP node and the international radio astronomy community. In addition to his/her main activities, he/she will also be welcome to collaborate with other researchers of the BASP node and of the SP Lab on signal processing for magnetic resonance imaging.

    Note that EPFL offers very attractive salaries.

    Requests for further information, and in a second stage applications, should be sent to Dr Y. Wiaux, directly by email.
  • Feb 11th, 2010. Postdoctoral Researcher, Compressive Sensing, MERL, Cambridge, MA

    MERL is seeking qualified and high-caliber applicants for a postdoctoral researcher position in the Multimedia Group. The successful candidate will be expected to perform original research in the area of Compressive Sensing, with particular application in remote sensing and radar signal processing. The candidate may also elect to devote part of his time to independent research. This is a 1-year appointment with possibility for extension.

    Qualifications:
    • Applicants are expected to hold a Ph.D. degree in Electrical Engineering, Computer Science, or closely related field.
    • Background in signal and/or image processing, especially in the area of sparse approximation and Compressive Sensing.
    • Experience with processing remotely sensed data (SAR, radar, multispectral imaging) and/or array processing.
    • Applicants must have a strong publication record demonstrating novel research achievements.
    • Excellent programming skills (C/C++, Matlab, etc) are required.
    • Excellent presentation, written and inter-personal communication skills are expected.

    Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.
    PRINCIPALS ONLY apply via email to petrosb@merl.com with "postdoctoral researcher" in the subject
    No phone calls please.
     
  • Feb 11th, 2010. Internship: Compressive Sensing , MERL, Cambridge, MA

    Development of new sensing technologies using principles from compressive sensing. The project involves development of hardware and/or simulation of physical systems. The ideal candidate should have significant signal processing experience, and should be comfortable with Matlab and C/C++. Experience in the areas of compressive sensing, sparse approximation, and radar signal processing is desirable but not necessary. Interested candidates apply to Petros Boufounos (petrosb@merl.com) with "summer internship" in the subject. No phone calls please.
  • Feb 5th, 2010. Postdoc. In the context of a new ERC award, several PhD and Post-Doc positions are available in the field of mathematical signal processing at the Laboratory of Audiovisual Communications, Ecole Polytechnique Fédérale de Lausanne (EPFL) http://lcavwww.epfl.ch/.

    Abstract of project: The subject of signal representations with Fourier and wavelet bases is central to signal processing and communications. Non-linear approximation methods in such bases are key for problems like denoising, compression and inverse problems.
    Recently, the idea that signals that are sparse in some domain can be acquired at low sampling density has generated strong interest, under various names like compressed sensing, compressive sampling and sparse sampling.
    We aim to study the central problem of acquiring continuous-time signals for discrete-time processing and reconstruction using the methods of sparse sampling. Solving this involves developing theory and algorithms for sparse sampling, both in continuous and discrete time. In addition, in order to acquire physical signals, we plan to develop a sampling theory for signals obeying physical laws, like the wave and diffusion equation, and light fields.
    Together, this will lead to a sparse sampling theory and framework for signal processing and communications, with applications from analog-to-digital conversion to new compression methods, to super-resolution data acquisition and to inverse problems in imaging. In sum, we aim to develop the theory and algorithms for sparse signal processing, with impact on a broad range of applications.

    Please send applications with a CV, list of publications, and the names of 3 references for
    Post-doctoral positions to :
    EPFL/IC/LCAV
    Jacqueline Aeberhard
    Station 14
    1015 Lausanne
    jacqueline.aeberhard@epfl.ch
    Before March15th, 2010
    Phd positions to :
    http://phd.epfl.ch/page57750-en.html
    Before April 15th, 2010
  • Dec 19th, 2009: Faculty OpeningS in Electrical Engineering at King Abdullah University of Science and Technology (KAUST). From the announcement:

    KAUST invites applications for faculty positions in the area of Electrical Engineering. KAUST, located on the Red Sea coast of Saudi Arabia, is an international graduate-level research university dedicated to advancing science and technology through bold and collaborative research and to addressing challenges of regional and global significance, thereby serving the Kingdom, the region and the world. Newly opened in September 2009, KAUST is an independent and merit-based university and welcomes exceptional faculty, researchers and students from around the world. KAUST is committed to cutting-edge research in the globally significant areas of Energy, Water, and Food. In addition, KAUST emphasizes research on the discipline of Computational Science and Engineering serving as an enabling technology for all its research activities. KAUST invites applications for faculty position at all ranks in signal processing (with preference to bioinformatics, compressive sensing and/or image and video processing), information theory and coding (with preference to Genomics, and/or communication networks), Photonics and Optics (with preference to photonics materials and engineered photonic structures, metamaterials, plasmonics, integrated optics and optoelectronics, biophotonics, ultrafast photonics, and/or optical communications), and Electromagnetics (with preference to terahertz imaging, remote sensing, electromagnetic exploration, magneto-photonics, fundamentals of electromagnetic interaction, microwave photonics, and/or radiofrequency/microwave engineering). High priority will be given to the overall originality and promise of the candidate’s work rather than the candidate’s sub-area of specialization within Electrical Engineering.

    The full announcement is here.
  • Employer: ExxonMobil
    Location: Clinton, NJ United States
    Last Updated: 10/26/2009
    Job Code: 7382BR


    AutoReqId 7382BR
    Job or Campus Folder Research Scientists (2) -Wave Propagation and Numerical Methods


    Job Description ExxonMobil's Corporate Strategic Research Laboratory is seeking applications from talented individuals in physics, applied mathematics, or engineering with a strong record of achievements in fields related to wave propagation in heterogeneous media, and its associated mathematical and numerical methods.


    Research Scientist - Wave propagation and transport in heterogeneous and porous media.

    Experience with the physical, mathematical and numerical analyses of one of: wave propagation in heterogeneous media, multi-scale transport phenomena, and/or fluid-structure interactions at the rock pore scale and their impact on the macro scale.

    Research Scientist-Compressive sensing.

    Experience with the mathematics of signal/image processing, denoising, sub-Nyquist signal reconstruction, and sparse representation of data.

    Applicants should have a PhD in applied mathematics, physics, engineering, geophysics, or a related field, with a strong ability in their field of expertise. Proficiency with scientific programming languages and experience with large-scale, parallel, numerical simulations are definite advantages. The ability to communicate and interact with internal and external groups will be an important selection criterion. Candidates should have a strong publication record, excellent oral presentation and writing skills, and show a desire and ability to grow into new science areas.

    The successful candidate will join a dynamic, multi-disciplinary group of world-class scientists who focus on performing breakthrough research and creating new approaches to solve our most challenging problems. Technical staff members in this position implement and report on independent research, participate in program development, as well as collaborate internationally with leading engineers and scientists from industry, universities and other technical institutions.

    ExxonMobil's Corporate Strategic Research (CSR) laboratory is a powerhouse in energy research focusing on fundamental science that can lead to technologies having a direct impact on solving our biggest energy challenges. Our facilities are centrally located in scienic Annandale, New Jersey, approximately one hour from both New York City and Phildelphia.
    ExxonMobil is an Equal Opportunity Employer
    Job Location Clinton, NJ
  • Postdoctoral Position in Wireless Communications at University of Vigo, Spain,
    Description
    The Signal Processing in Communications Group (GPSC, www.gts.tsc.uvigo.es/gpsc ), affiliated with the Department of Signal Theory and Communications at University of Vigo, Spain, invites applications for one postdoctoral positions in the field of wireless communications. The selected candidates will join GPSC to investigate fundamentals and algorithm design/evaluation for communication and sensor networks. Areas of particular interest include:
    • Sensor networks
    • Cognitive Radio
    • Compressed Sensing
    GPSC is formed by 6 faculty members from the University of Vigo as well as several MSc and PhD students, and participates in several research projects funded by the European Commission and the Spanish Government. Among these, the recently launched COMONSENS project (www.comonsens.org) integrates investigators from 10 different top research institutions in Spain. GPSC members also actively collaborate with the Galician R&D Center in Advanced Telecommunications (GRADIANT, www.gradiant.org ) in diverse contracts with ICT companies. Thus, the selected candidates will enjoy unique opportunities to participate in exciting research projects with both industry and academia.

    Desirable background
    • A Ph.D. degree in Electrical Engineering is required; PhD obtained before January 1, 2007
    • Knowledge and experience in sensor networks, cognitive radio and/or compressed sensing
    • Good verbal and written skills in English are required
    • Strong publications in international conferences and journals in the area of communications
    • Postdoctoral experience in a recognized group with expertise in the field is a plus
    • Experience in the organization, management and training of technical staff/students is a plus
    • Communication, computing and interpersonal skills are important
    • Capacity to work both independently and within a team
    Contract conditions
    The initial appointment will be for one year, with annual renewal dependent on funding and performance. Expected start date is January 2010. Successful applicants will be offered a 36,000 € yearly gross salary depending on qualifications, as well as health benefits.
    Applications
    Interested candidates may apply to Prof. Nuria González Prelcic (nuria@gts.tsc.uvigo.es).
    Applications should include electronic copies of the following:
    • A detailed Curriculum Vitae. (*Please include your e-mail address and a recent picture.)
    • A cover letter addressing the specified job qualifications.
    • A letter of recommendation by a senior Professor/Researcher.
    • A copy of the publication deemed as best representative of the candidate’s creative research.
    Priority consideration will be given to applications received by November 1, 2009. Applications will be accepted until position is filled.
    Contact: Nuria González Prelcic
    Departamento de Teoría de la Señal y Comunicaciones
    ETSET. University of Vigo
    36310 Vigo. Spain
    Phone: +34 986 818656, e-mail: nuria@gts.tsc.uvigo.es
     
  • October 8th, 2009. Postdoc, Paris, France: One-year post-doctoral position : Compressed Sensing for acoustic imaging. Deadline: 25/10/2009, October 25, 2009
    CONTEXT

     New sampling methods, known as « compressed sensing », allow the acquisition of signals at a potentially much lower data rate than in the classical (Shannon-type) framework, by taking into account the sparse structure of the signals in well-chosen bases. The analysis of acoustical fields is one of the natural applications of this theory. This is the topic of the ECHANGE (new generation of acoustic sampling) project, funded by the French National Research Agency (ANR), that provides funding for this 1-year post-doctoral position.
               The  hired post-doctoral researcher will be at the junction between experimentalists (MPIA team of the D’Alembert Institute of mechanical engineering, University Paris 06), and specialists of acoustical signal processing (Langevin Institute « Waves and Images »). The goal will be to propose new theoretical and/or algorithmic frameworks, for the application of compressed sensing to various scenario of acoustical imaging. One such scenario could be the adaptation of beamforming techniques for the localization and characterization of acoustical sources (in terms of elementary sources).

    In particular, this job involves
           • Taking an active part in the scientific / technical aspects of the project :
           • Developing new algorithms, in constant interaction with experimentalists ; testing these ideas with strict evaluation protocols, comparison with state-of-the-art.
           • Work planning and supervision ;
           • Writing scientific articles. Presenting the work at national / international conferences and meetings of the ECHANGE consortium ;
           • Taking part in the writing of deliverables ;
           • Taking part in some administrative tasks related to the project (meetings organization, writing minutes, etc.).

    REQUIRED QUALIFICATION
    A PhD (/doctorate), or equivalent, in applied mathematics, signal processing, or acoustics.

    REQUIRED EXPERTISE
    Perfect knowledge of digital signal processing
    Confirmed expertise in at least one of these fields : compressed sensing OR sparse representations OR inverse problems OR acoustic imaging.
    Proficiency with Matlab
    Excellent written and spoken English

    Would be a plus :

    Knowledge of C/C++, open-source and cross-platform projects (Unix / MacOS / Windows)
    Experience with ANR-funded research

    The candidate must show good communication skills, and be an excellent team player. He/she must like research at the junction of theory and experiments. He/she must be well organized and be able to work autonomously.

    CONTRACT DURATION AND SALARY
    12 month contract
    Gross monthly salary of about 2200 euro.

    START DATE
    01.01.2010, or soon thereafter

    PLACE OF WORK
    Institut Langevin « Ondes et Images » (LOA)
    ESPCI 10 rue Vauquelin 75231 Paris Cedex 05 – FRANCE
    http://www.institut-langevin.espci.fr/Langevin-Institute
    ideally located in the middle of Paris “Montagne Sainte-Geneviève” hub of scientific research, and quintessential parisian “Mouffetard” neighborhood.

    Regular visits to Institut Jean Le Rond d’Alembert, Saint-Cyr-L’Ecole (suburbs of Paris).

    SCIENTIFIC SUPERVISION
    Laurent Daudet : laurent.daudet@espci.fr
    Professor at Université Paris Diderot – Paris 7
    Contact person for informal enquiries.

    HOW TO APPLY
    e-mail only application (cover letter, detailed resume, list of publications and list of max 5 references with contact email) to laurent.daudet@espci.fr
    with cc to François Ollivier francois.ollivier@upmc.fr
    The deadline for application is 25/10/2009.


















  • October 6, 2009, Postdoctoral Positions in Wireless Communications

    Employer:    University of Vigo (Doctoral University)
    Location:    Vigo, Spain
    Category:    Postdoc/Graduate Assistant position of:
    Others (Communication)
    Posted:    Oct. 06, 2009
    Description & Requirement

    DESCRIPTION

    The Signal Processing in Communications Group (GPSC, www.gts.tsc.uvigo.es/gpsc ), affiliated with the Department of Signal Theory and Communications at University of Vigo, Spain, invites applications for one postdoctoral position in the field of wireless communications. The selected candidates will join GPSC to investigate fundamentals and algorithm design/evaluation for communication and sensor networks.
    Areas of particular interest include:
    - Sensor networks
    - Cognitive Radio
    - Compressed Sensing

    GPSC is formed by 6 faculty members from the University of Vigo as well as several MSc and PhD students, and participates in several research projects funded by the European Commission and the Spanish Government. Among these, the recently launched COMONSENS project (www.comonsens.org) integrates investigators from 10 different top research institutions in Spain. GPSC members also actively collaborate with the Galician R&D Center in Advanced Telecommunications (GRADIANT, www.gradiant.org ) in diverse contracts with ICT companies. Thus, the selected candidates will enjoy unique opportunities to participate in exciting research projects with both industry and academia.

    DESIRABLE BACKGROUND

    • A Ph.D. degree in Electrical Engineering is required; PhD obtained before January 1, 2007
    • Knowledge and experience in sensor networks, cognitive radio  and/or compressed sensing
    • Good verbal and written skills in English are required
    • Strong publications in international conferences and journals in the area of communications
    • Postdoctoral experience in a recognized group with expertise in the field is a plus
    • Experience in the organization, management and training of technical staff/students is a plus
    • Communication, computing and interpersonal skills are important
    • Capacity to work both independently and within a team


    Application

    Applications should include electronic copies of the following:
    • A detailed Curriculum Vitae. (*Please include your e-mail address and a recent picture.)
    • A cover letter addressing the specified job qualifications.
    • A letter of recommendation by a senior Professor/Researcher.
    • A copy of the publication deemed as best representative of the candidate’s creative research.
    Priority consideration will be given to applications received by November 1, 2009. Applications will be accepted until position is filled.
     
    Contact: Nuria González Prelcic
           Departamento de Teoría de la Señal y Comunicaciones
           ETSET. University of Vigo
           36310 Vigo. Spain
           Phone: +34 986 818656,  e-mail: nuria@gts.tsc.uvigo.es


    Physicist Postdoc Fellow (X-ray Coherent Imaging and Scattering)
    Req Number:

    The Advanced Light Source Division (ALS) at Lawrence Berkeley National Laboratory (Berkeley Lab) offers an exciting postdoctoral fellow opportunity to conduct experiments at the ALS and develop experimental and theoretical methods for x-ray coherent imaging and scattering. This position reports to the Coherent Imaging lead scientist within the Experimental Systems Group.

    Key responsibilities include: * Develop experimental and theoretical methods for x-ray coherent imaging, holography and general scattering. *Communicate work results via reports and oral presentations, including participation in meetings, reviews, conferences, and publications in refereed journals.


Qualifications include: *Ph.D. in Optics, Physics or Engineering within the last 2 years * Experience with complex experimental apparatuses such as synchrotron beamlines and/or optical measurement * Familiarity with signal processing (phase retrieval, compressive sensing) and/or familiarity with experimental techniques of synchrotron radiation research is advantageous.

Note : This is a one-year term appointment with the possibility of renewal after one year based on demonstrated performance and availability of funds.
  • August 5, 2009. Postdoc. University of Edinburgh School of Engineering: Research Associate in "Compressed Sensing SAR"

    Vacancy details

    * Vacancy Reference: 3011316
    * Department: School of Engineering
    * Job Title: Research Associate in "Compressed Sensing SAR"
    * Job Function: Academic
    * Job Type: Full Time
    * Live Date: 29-Jul-2009
    * Expiry Date: 20-Aug-2009
    * Salary Scale: £20,226 - £23,449
    * Internal job: No. Anybody can apply for this position.
    * Further Information: Further Information
    * Conditions Of Employment: View Conditions of Employment

    School of Engineering: Research Associate in "Compressed Sensing SAR"

    This post is to investigate a compressed sensing coding techniques for use in Synthetic Aperture Radar (SAR) remote sensing applications.

    The purpose of "Compressed sensing SAR" is to provide SAR imaging with a superior compression system that has the capability of practically transmitting large quantities of SAR data to the receiving station over restricted bandwidth with minimal on board computation. The communication or data storage bottleneck is a key factor currently limiting coverage and/or resolution in SAR instruments. Our unique approach to addressing this problem is to utilize the new concept of "compressed sensing" to remove this bottleneck. Compressed sensing has the potential to provide a compression scheme that is bandwidth efficient while requiring minimal on-board processing. The project will explore the feasibility of such a technique and design and evaluate a proof of concept compression system. In addition, you will have the opportunity to work closely with other members of the sparse representations research group within the Institute for Digital Communications.

    You will have a PhD (or have recently submitted) or equivalent in engineering, computer science or related discipline, and have a strong background in signal processing. The appointment will be for two years starting on 1st October 2009 or as soon as possible thereafter.

    Fixed Term: 2 years
  • Jie Liang just sent me the following announcement for a Postdoc position at Simon Fraser University, Vancouver, Canada. Details: A joint postdoc position is available immediately in the School of Computing Science and the School of Engineering Science, Simon Fraser University, Burnaby (metro-Vancouver area), British Columbia, Canada. Candidates should have a PhD degree (or be near completion) in a relevant field and a strong research and publication record. Areas of interest include overlay/peer-to-peer networking, wireless sensor networking, social networking, image/video coding, cooperative/joint source channel coding, distributed source coding, and compressive sensing.

    The duration of the position is 12 months and may be extended an additional 12 months.

    Please send your full CV in PDF format to Dr. Jiangchuan Liu (jcliu@cs.sfu.ca) and Dr. Jie Liang (jiel@sfu.ca).

    Additional information can be found at http://www.cs.sfu.ca/~jcliu/http://www.sfu.ca/~jiel
  • Wotao Yin is looking for a postdoc who would work in Compressed Sensing, Machine Learning, and Optimization at Rice University. The Department of Computational and Applied Mathematics at Rice University invites applications for a postdoctoral research associate position. The initial term of appointment is one year with a possible second year contingent upon availability of funding. The term of appointment will begin on or after August 1, 2009. The focus of the research is on compressed sensing, machine learning, optimization, as well as their applications. Candidates should have finished a PhD in applied/computational mathematics, electrical engineering, statistics, operations research, or a related field by August 2009 or the time of appointment and no earlier than December 2006. The salary will be competitive. More information is available here.
  • Yonina Eldar is looking for a highly motivated post-doctorate fellow, to work on a joint project with General Electrics. The project involves advanced sampling techniques for next generation ultrasound. The position provides a unique opportunity to conduct research on topics that are in the frontier of signal processing and sampling theory, while at the same time have direct impact on industrial applications. A very senior staff member at GE will be closely involved in the project and serve as a mentor. Upon successful completion, the results will be integrated into GEs systems. She is particularly interested in candidates with a strong signal processing background. Knowledge of sampling theory will be helpful. There is no need for a background in ultrasound as we will be working closely with GE staff. Interested candidates are invited to send their CV with names of 2 references to: yonina@ee.technion.ac.il .The position is available immediately. An initial contract of 1 year duration will be offered to the successful candidate, with a possibility of extension. 
  • There is a NAS associateship offered at Kirtland Air Force Base entitled: "Concurrent, Agility, and Distributed Decision Architecture for Compressive Sensing and Complexity Management". Please note the restriction on citizenship.
  • There is a PhD position at University of Aalborg in Denmark that requires some knowledge of compressive sensing. The title of the research is "Sparse Sampling Techniques for Multi-Mode Receivers".
  • Emil Sidky  at Department of Radiology, The University of Chicago, is interested in performed Compressive sensing  X-ray CTs. He also looking for a post-doc. " A post-doctoral position is available in conducting research in advanced medical imaging, with an emphasis on tomographic X-ray imaging. The research projects will focus on one of two main efforts: (1) computational research - involving implementation of image reconstruction algorithms and physical modeling of tomographic systems and (2) systems evaluation - evaluation of tomographic systems and image reconstruction algorithms by image analysis and by computerized observer-models. Projects related to the former effort require a PhD degree in physics or applied math, while the latter effort is open to PhDs in related fields such as computer science. The position is for up to 2 years, can be renewable after that."

  • Ramesh Raskar , the head of the Camera Culture Lab  at MIT is looking to hire Graduate Students, MEng, PostDocs and UROPs starting Fall 2009. You may want to look here for more information.
  • March 18th, 2009. Rice University, Houston, TX. Wotao Yin has two openings for Graduate students starting this Summer 2009. The successful applicants are expected to work on collaborative projects involving sparse optimization, compressed sensing, and imaging funded by the NSF, ONR, and Sloan Foundation. More information on Wotao Yin's page.
  • February 22nd, 2009. University of Edinburgh, Engineering and Electronics: Research Fellow, Vacancy Reference: 3010491 Department: Engineering and Electronics Job Title: Research Fellow Job Function: Academic Job Type: Full Time Live Date: 20-Feb-2009 Expiry Date: 13-Mar-2009 Salary Scale: £29,704 - £35,469. Based in the Institute for Digital Communications, to investigate refinements of the compressed sensing theory, as part of an EPSRC funded research project you will be expected to develop generalized signal models, such as signals with structured sparse representations for use in compressed sensing. These ideas will then be used to develop new sampling strategies and signal reconstruction algorithms. There will also be scope to examine the properties of compressed sensing with quantization, including the theoretical and practical coding performance attainable through compressed sensing.The associated EPSRC research project is jointly hosted at the Institute for Digital Communications (IDCOM) and the Scottish Brain Imaging Research Centre (SBIRC) at the University of Edinburgh (UoE). A key part of the project is to collaborate with researchers in the SBIRC to develop new rapid sampling and reconstruction schemes that can exploit the combined multi-resolution and spatiotemporal structures of the MRI image sequences. These new techniques will be implemented, developed and evaluated by researchers in the SBIRC to determine true scan times, image quality and the computational costs of reconstruction as well as allowing a clinical assessment of the quality of the reconstructed image sequences. You will have a PhD (or have submitted) or equivalent in engineering, computer science or a related discipline, and have a strong background in one or more of the following: sparse representations; compressed sensing; computational harmonic analysis. Fixed Term: for up to 36 months starting as soon as possible after 1st June 2009.
  • February 16, 2009. Summer Intern Division, Arete Associates,

    Locations: Northridge, CA Zip Code: 91324
    Country: United States Category: Physics
    Salary: Open FLSA Status: Non-Exempt
    Additional Salary Info: Position Type: Intern
    Position ID: 57 Travel:
    Relocation: Security Clearance Required: No

    Company Description
    Areté Associates, an employee-owned company (ESOP), is a growing research and development firm recognized for contributing to national security objectives by supplying innovative solutions to challenging technical problems faced by the United States.

    Candidate(s) selected must meet eligibility requirements for a government security clearance.

    Areté Associates offers excellent compensation, a full benefits package and advancement opportunities.

    Areté Associates is an Equal Opportunity Employer

    Position Description
    We are currently seeking outstanding applicants for our Summer Internship Program in our Northridge, California office.

    10 week internship program: June 22 – August 28, 2009
    30-40 hour workweek

    Work in areas of remote sensing, signal processing, physics-based modeling, and data analysis. Below are descriptions for our Summer Projects:

    Project: 2009A
    Category: Radar Imaging, Synthetic Aperture Radar
    Goal: Obtain high-resolution imagery from low-bandwidth radar
    Demonstrate an algorithm to extract high-resolution radar imagery from low-bandwidth radar data. Evaluate the algorithm using simulated data, comparing it to traditional Synthetic Aperture Radar algorithms. Devise and test improvements to the algorithm. Programming language(s): C, IDL or similar ( e.g. MATLAB/Octave/SciPy)

    Project: 2009B
    Category: Image Processing, Optical
    Goal: Depth information, image reconstruction
    Research and refine an algorithm for estimating scene depth from defocused imagery. Implement one or more algorithms, collect experimental data, and evaluate the performance in terms of accuracy and efficiency. Based on performance analysis, research advanced applications for the algorithm(s). Programming language(s): IDL, MATLAB, or C++

    Project: 2009C
    Category: Compressive Sampling
    Goal: Obtain more information from less data
    Evaluate and extend a Compressive Sampling (CS) code for Fourier transforms. Test timing, convergence, and robustness to noise. Analyze the quality of the algorithm by comparing it to other techniques through data analysis. Programming language(s): C++. Experience with FFT algorithms desired.

    Project: 2009D
    Category: Image Processing, Biomedical
    Goal: Early disease detection
    Use change detection image processing techniques to detect presence of disease indicators in optical data. Techniques will be applied to both simulated and real data.
    Programming language(s): IDL or MATLAB. Object oriented programming preferred.

    Project: 2009E
    Category: Image Processing
    Goal: Image stabilization and quality enhancement
    Investigate algorithms for enhancement of existing low-quality video including: blur reduction, frame to frame registration, removal of video jitter, and mitigation of pan-zoom effects on video image. Programming language(s): IDL or MATLAB or similar.

    Position Requirements
    Ideal candidates will have the following qualifications:

    Junior, senior, first or second year graduate student
    Major in physics, math, engineering, computer science, or related field
    Programming experience in C, C++, IDL, Matlab, or Fortran preferred
    U.S. Citizenship Required 
  • February 9th, 2009: Research Fellow in "Sparse representations for the processing of large scale data"   at the University of Edinburgh, UK.                                              Vacancy Reference: 3010412
    Department: Engineering and Electronics
    Job Title: Research Fellow in "Sparse representations for the processing of large scale data"
    Job Function: Academic
    Job Type: Full Time
    Live Date: 09-Feb-2009
    Expiry Date: 23-Feb-2009
    Salary Scale: £29,704 - £35,469
    Internal job: No. Anybody can apply for this position.
    Further Information: Further Information
    Conditions Of Employment: View Conditions of Employment
    Engineering and Electronics: Research Fellow in "Sparse representations for the processing of large scale data"
    This post is to investigate new representations for signal modelling as part of the European Framework 7 FET-open project: "Sparse Models, Algorithms, and Learning for Large Scale Data" (SMALL). The objective of the SMALL project is to build a theoretical framework for a new generation of provably good and efficient algorithms, to discover and exploit structure in large-scale multimodal or multi-channel data, using sparse signal representations. The SMALL consortium is made of 5 academic partners located in four countries (France, United Kingdom, Switzerland, and Israel).

    You will work on various aspects of sparse representation theory and the design of scalable algorithms, including: dictionary learning and the exploitation of structured dictionary representations. Potential applications include the processing of multimodal and multi-channel data, such as: audio, audio-video and multi-modal/hyperspectral imaging.

    You will have (or have submitted) a PhD or equivalent in engineering, computer science or related discipline, and have a strong background in one or more of the following: sparse representations, compressed sensing; applied harmonic analysis; dictionary learning (independent/sparse component analysis).

    The appointment will be for three years starting as soon as possible after 1st March 2009.

    Fixed Term: 3 years
  • February 3rd, 2009: Internship for summer at MERL. Amit Agrawal is looking for interns at MERL this summer: Summer Internship (2009) at Mitsubishi Electric Research Labs (MERL)
    Starting May 2009 We are looking for a student with experience and interest in one or more of the following topics Computational Imaging/Photography Active illumination LightFields and Applications Motion Deblurring Coded Aperture Techniques Project details are at http://www.merl.com/people/agrawal/index.html
    * The student research background should include computer vision and image processing projects.
    * Programming experience in Matlab, C/C++
    * The student may also submit his/her own proposal for a research project.
    * Competitive pay, fun working environment. Please send email to agrawal at merl dot com with resume, dates of availability and area of interest.
    While there is no obvious relation to Compressive Sensing, work like the one performed by Roummel Marcia, Zachary Harmany, and Rebecca Willettin their latestpaper entitled Compressive Coded Aperture Imaging should be a clue that much work can expand in that area with solid theoretical underpinnings.
  • January 30th, 2009,  Two positions at LTS2 at EPFL in Switzerland, PhD Position in Signal Processing on Graphs and a Post-Doc position in data analysis / signal processing for large-scale data. Both involve sparsity and Compressive Sensing.
  • January 21st, 2009, Assistant Professor position at University of Waterloo, CA,

    The Department of Electrical and Computer Engineering, University ofWaterloo, invites applications for tenure-track/tenured facultypositions at the ranks of Assistant, Associate, or, in very specialcases, Full Professor in the area of signal processing, with expertise in one or more the followings sub-areas: the theory of signal processing (e.g. sparse sampling, compressed sensing, etc.), multimedia processing (including
    speech, audio and video processing), and biomedical signal processing.

    Applicants should have earned a doctoral degree inElectrical/Computer/Software Engineering, Computer Science, or a closelyrelated discipline. All applicants must have a strong commitment toresearch and teaching. Salaries are competitive and are determinedaccording to the successful applicant's accomplishments, experience andqualifications.

    The department currently has more than 75 faculty members and is in theprocess of expanding to more than 90 faculty members, making it one of the largest ECE departments in Canada. The graduate programs of the
    department attract outstanding Canadian and international applicants,with an enrolment of more than 450 graduate students. The undergraduateprograms in Computer Engineering, Electrical Engineering, Software
    Engineering (offered jointly with the David R. Cheriton School ofComputer Science), Mechatronics Engineering (offered jointly with theDepartments of Mechanical & Mechatronics Engineering and Systems Design
    Engineering), and Nanotechnology Engineering (jointly with theDepartments of Chemistry and Chemical Engineering) draw the top studentsfrom across Canada.

    The department offers an outstanding research environment in tworecently completed new buildings with world-class research laboratories.Researchers at the University of Waterloo benefit from close connections
    with the many high-technology companies in the Waterloo area and fromthe very generous intellectual property policy of the University, whichvests the rights with the inventor.

    The University of Waterloo has been named the "Best Overall" universityby reputation in Canada. It is located in the attractive two-universitycommunity in the Region of Waterloo (population of 450,000) in
    southwestern Ontario. The city of Toronto is within easy drivingdistance, as are the many recreational opportunities offered by theGreat Lakes and Provincial Parks.

    Interested candidates should send a curriculum vita, a statement ofresearch and teaching interests, and the names of at least threereferences to the Faculty Search Coordinator via the online system at
    https://eceadmin.uwaterloo.ca/DACA

    Applications will be accepted until the positions are filled. Allqualified candidates are encouraged to apply; however, Canadian citizensand permanent residents will be given priority. The University ofWaterloo encourages applications from all qualified individuals,including women, members of visible minorities, native people andpersons with disabilities.

  • Jan. 20th, 2009. Postdoc/Graduate Assistant position at Computer Science & Engineering, Electrical Engineering, Mathematics & Statistics at University of Vigo (Doctoral University), Vigo, Spain 36310 
    Apply by: February 15, 2009.   
    Job Type:    Full-time
    Degree:    PhD
    Deadline:    Open until filled. Priority consideration will be given to applications received by
    Applications will be accepted until positions are filled.
    Description & Requirement
    The Signal Processing in Communications Group (GPSC, www.gts.tsc.uvigo.es/gpsc ), affiliated with the Department of Signal Theory and Communications at University of Vigo, Spain, invites applications for two postdoctoral positions in the field of wireless communications. The selected candidates will join GPSC to investigate fundamentals and algorithm design/evaluation for communication and sensor networks. Areas of particular interest include:
    - Sensor networks
    - Cognitive Radio
    - Compressed Sensing
    GPSC is formed by 5 faculty members from the University of Vigo as well as several MSc and PhD students, and participates in several research projects funded by the European Commission and the Spanish Government. Among these, the recently launched COMONSENS project (www.comonsens.org) integrates investigators from 10 different top research institutions in Spain. GPSC members also actively collaborate with the Galician R&D Center in Advanced Telecommunications (GRADIANT, www.gradiant.org ) in diverse contracts with ICT companies. Thus, the selected candidates will enjoy unique opportunities to participate in exciting research projects with both industry and academia. Contract conditions
    The initial appointment will be for one year, with annual renewal dependent on funding and performance. Expected start date is March 2009. Successful applicants will be offered a 30,000-36,000 euros yearly gross salary depending on qualifications, as well as health benefits. More information can be found here.
    Submit application by email to:
    Dr. Roberto Lopez-Valcarce
    Departamento de Teoria do Sinal e Comunicacions
    ETSET. University of Vigo
    36310 Vigo. Spain
    Phone: +34 986 818659,
    e-mail: valcarce@gts.tsc.uvigo.es (When applying, please mention this ad in TedJob.com)
  • January 16th, 2009: Two Post-Docs at INRIA Rennes, France (IRISA). The postdocs will work on theoretical, algorithmic and practical aspects of sparse representations of large-dimensional data, with a particular emphasis on acoustic fields, for various applications such as compressed sensing, source separation and localization, and signal classification. Previous experience in sparse representations (time-frequency and time-scale transforms, pursuit algorithms, support vector machines and related approaches) is desirable, as well as a strong taste for the mathematical aspects of signal processing. For additional technical information, please contact :Rémi GRIBONVAL - SMALL/ECHANGE project leader - METISS Project-Team - INRIA-Bretagne Atlantique - Email: remi.gribonval@inria.fr - phone: +33 2 99 84 25 06.The positions, funded for at least 2 years (up to three years), will be renewed on a yearly basis depending on scientific progress and achievement. The gross minimum salary will be 28287 € annually (~ 1923 € net per month) and will be adjusted according to experience. The usual funding support of any French institution (medical insurance, etc.) will be provided. More information can be found here.
  • January 16th, 2009: Intern at Microsoft Research Asia. Beijing. MRA is recruiting interns for Stars of Tomorrow Internship Program.. For more information see here.
    Position: Full-time Intern
    Group: Visual Computing Group
    Quantity: 1
    Work Location: Beijing. The interns will be working with the VC manager, professor Yi Ma, on applications of sparse representation and compressive sensing to problems in computer vision and pattern recognition (e.g., face recognition, image/video segmentation and analysis). The interns will be required to conduct programming, simulation, and experiment for various research projects, or if capable, conduct mathematical analysis of algorithms and solve new problems.

    Qualified applicants please fill in the application form and send it  together with a full resume in both English and Chinese (PDF/Word/Txt/Html format) to: MSRAih@microsoft.com, and please note you are applying for MSRA VC Group. Know more about Stars of Tomorrow Internship Program, please visit http://www.msra.cn/ur/intern.aspx. If any question, please email to msrastar@microsoft.com
  • January 9th, 2009: Doctoral and Postdoctoral positions up to 6 years at the Johann Radon Institute for Computational and Applied Mathematics in Linz,  Austria within the FWF-START project “Sparse Approximation and Optimization in High-Dimensions”. Project leader: Dr. Massimo Fornasier
  • January 6th, 2009: Paul Honeine, an assistant professor at University of Troyes in France has an opening for a Ph.D. studentship in  Compressive sensing for pattern recognition and decision making in wireless sensor networksPaul Honeine, assistant prof. (paul.honeine@utt.fr), Lab. : LM2S, University of Technology of Troyes (lm2s.utt.fr)
  • December 10, 2008, Post-DocPost-doctoral position (3 years), Signal/Image processing at CEA Saclay, Service d’Astrophysique. The Service d'Astrophysique (SAp) at CEA Saclay invites applications for a postdoctoral appointment in the area of data analysis/image processing of astronomical data to work with Jean-Luc Starck.
  • December 1, 2008, Internships with the Thales company on the subject of Compressed Sensing. The announcements are here and here. I talked to some of the folks at Thales and they tell me the internships are paid (900 euros but ask them from more accurate information) and are open to E.U. students as well if they apply early (need for clearance).
  • November 19, 2008, PhD/postdoc positions.Matthias Seeger has an opening for a PhD Student / Postdoctoral Researcher in Probabilistic Machine Learning and Medical Image Processing, Saarland University, Saarbruecken, Germany. If you happen to attend the forthcoming Neural Information Processing Systems conference, please make yourself known to me there. 
  • October 26, 2008. PostDocFP6/Marie Curie Actions. Post-doctoral fellow in Sensor Networks & Compressive Sensing at the Institute of Computer Science (ICS), Foundation for Research and Technology-Hellas (FORTH) in Heraklion, Crete, Greece. The position focuses on information theoretical aspects of sensor networks and Bayesian compressive sensing. The ideal candidate is expected to have expertise in information theory, signal processing, compressive sensing, pattern recognition and data fusion, statistical communications, and preferably experience in engineering applications concerning the structure, function, and organisation of WSN systems.Job starting date: 01/01/2009. Aplication deadline: 01/12/2008. 
  • October 14, 2008. PostDoc. The SISYPH (Signals, Systems and Physics) research group, at the Physics Department of Ecole Normale Superieure de Lyon, offers a 12-months post doctoral position, starting any time after December, 1st 2008. One of the subject of interest is Compressed Sensing. More information can be found here.
  • September 25, 2008, Ramesh Raskar , the head of the Camera Culture Lab  at MIT is looking to hire Graduate StudentsMEngPostDocs and UROPs starting Fall 2008.
  • August 20, 2008. Internship, US-MA, Amit Agrawal  has an opening for Fall Internship (2008) at Mitsubishi Electric Research Labs (MERL)
  • August 18, 2008. PhD Studenship, UK, PhD studentship in London examining Compressive Sensing of audio scenes.
  • August 14, 2008. Engineer, US-AZ,  Raytheon is looking for an ATR Algorithm Design Engineer with a Ph.D and whose desired skilled include compressive sensing.
  •  August 12, 2008. Postdoc, US-TX,  Richard Baraniuk is looking for a postdoc in the area of compressive sensing, sparse signal and image processing
  •  June 9, 2008. Postdoc, Israel,  Yonina Eldar is looking for a postdoc.

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