Jobs Board

Post-doc positions in Cardiac MRI Reconstruction/Analysis and Machine Learning at Imperial College London and in Biomedical Image Analysis and Machine Learning at Imperial :

Research Assistant salary range: £31,740 to £33,370 per annum Research Associate salary range: £36,070 to £43,350 per annum

Fixed Term appointment for up to 48 months starting on 1st October 2017

The BioMedIA group is part of the Department of Computing which is a leading department of Computer Science among UK Universities. Imperial College has the greatest concentration of high impact research of any major UK university, according to the Research Excellence Framework (REF) 2014. The Department of Computing us the only department in the UK that has been rated consistently amongst the top three since the introduction of research assessments. Imperial was also awarded “Gold” according the last Teaching Excellence Framework (TEF) 2017.

We are seeking to appoint a Research Assistant/Associate to develop novel machine learning algorithms for the reconstruction and analysis of cardiac MR images. The successful candidate will join the EPSRC funded SmartHeart (www.smart-heart.org) project, the next-generation of cardiovascular healthcare which uses integrated image acquisition, reconstruction, analysis and interpretation.

To apply, you will have a special interest in image analysis with particular emphasis on cardiac magnetic resonance imaging (MRI). You will work with a wider community of computer scientists, cardiologist and medical imaging experts from leading hospitals and UK Biobank to develop medical image reconstruction and segmentation algorithms. You should be willing to get involved at all levels from image reconstruction and image analysis to clinical translation.

At Research Assistant level you will need to have a first-class undergraduate degree (or equivalent) in a relevant discipline with a particular interest in machine learning and computer vision. Preference will be given to applicants with a proven track record in medical imaging. To be appointed a Research Associate level you must have been awarded a PhD (or equivalent) in a subject relevant to medical imaging with particular expertise in medical image reconstruction, medical image computing, computer vision or machine learning.

All applicants must be fluent in spoken and written English. You must have excellent communication skills and be able to organise your own work with minimal supervision and prioritise work to meet deadlines. You will be part of the Biomedical Image Analysis Group (BioMedIA) based at the South Kensington campus in London. The mission of the group is to develop novel, computational techniques for the analysis of biomedical images. For further information about the group and related projects see: http://biomedic.doc.ic.ac.uk/.

How to apply: Our preferred method of application is online via our website at: http://www3.imperial.ac.uk/employment

Please select “job search” then enter the job title or vacancy reference number EN20170228LE into “keywords”. Please complete and upload an application form as directed.

Applications must include the following:

• A college application form

• A full CV

• A two-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.

• Any element relating your experience / passion for software engineering (blog, open source projects, github repositories and others) will be carefully inspected.

Should you have any queries regarding the application process please contact Georgina Tennant by email to: g.tennant@imperial.ac.uk

Closing Date: 20 August 2017

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people.

Research Associate (Postdoc) and Software Developer posts in Deep Learning for Early Lung Cancer Detection - King's College London, UK

Published on August 4, 2017

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Julia A. Schnabel

Chair of Computational Imaging

We are seeking a Research Associate/PostDoc and a Research Software Developer/Engineer for designing, developing, testing, and integrating novel machine/deep learning based medical image analysis methods for our EPSRC funded Healthcare Impact Partnership project “Intelligent and Personalised Risk Stratification and Early Diagnosis of Lung Cancer (EP/P023509/1)” funded by an EPSRC Healthcare Impact Partnership award, a 36 month project that will bring together expertise in computational imaging and deep learning at King’s College London and Imperial College London, expert clinicians at Guy’s & St. Thomas’ Hospital and King’s College Hospital, and a leading industry partner.

Our aim is to achieve both computational innovations in personalised diagnostics, as well as a strong translational focus for improved patient management, effectively leading the way in providing advanced healthcare technologies for a future UK lung cancer screening programme.

Research Associate:

Reference: THW/17/059639/001111

Salary Details: £32,958 to £39,324 per annum

Allowances: Plus £2,623 London Allowance

Contract Type: Temporary/Fixed term

Contract Term: Full time

Application Form: https://www.hirewire.co.uk/HE/1061247/MS_JobDetails.aspx?JobID=77674

Software developer:

Reference: THW/17/059639/001106

Salary Details: £40,523 to £42,955 per annum

Allowances: Plus £2,623 London Allowance

Contract Type: Temporary/Fixed term

Contract Term: Full time

Application Form: https://www.hirewire.co.uk/HE/1061247/MS_JobDetails.aspx?JobID=77669

The selection process will include a panel interview, a presentation and a paper discussion. Interviews are scheduled to be held in late August/ early September 2017. For an informal discussion to find out more about the role, please contact Prof Julia Schnabel julia.schnabel@kcl.ac.uk

To apply for this role, please go to the King’s College London HireWire Job Board using the links above, and register to download and submit the specified application form.

The deadline for applications is midnight on 23 August 2017

Closing date: 23 August 2017