Assistant/Associate Professor, position number 0084131, University of Hawai‘i at Mānoa (UHM), College of Engineering, Department of Electrical Engineering (EE), invites applications for a full-time, general funds, tenure-track faculty position, pending position clearance and availability of funds. To begin approximately August 1, 2017 or as soon thereafter as possible.
The University of Hawai‘i is a Carnegie R1 Doctoral University (Highest Research Activity) with a strong emphasis on research and graduate education. The Department offers the B.S., M.S., and Ph.D. degrees in electrical engineering and the B.S. degree in computer engineering. The B.S. degree programs in electrical engineering and computer engineering are ABET accredited. Current enrollment is approximately 330 undergraduate and 50 graduate students with 20 faculty members.
The State of Hawai‘i has a strong commitment to improving high technology within the state through legislative efforts, tax incentives, and initiatives such as the HI Growth Initiative supported by Governor David Ige. EE has identified key research areas to support this technology-rich environment focused on (but not limited to): nano/biotechnology, renewable energy, cyber/grid security, computer vision, and big data. Upon joining EE, the successful candidate may gain access to renowned efforts and capabilities including:
Focus Areas (not in order of importance):
Bio/Nanotechnology: Specific areas of interest include research at the intersection of the electrical, photonic, and mechanical properties of nanomaterials and nanodevices including 2D crystals (such as graphene and MOS), nanowires/ribbons, functionalized surfaces, locomotion, fluidic interactions, and novel sensing and actuating paradigms. There is an immediate need for faculty with specialization in the areas of defense, genomics and proteomics, and food/water/energy research.
Renewable Energy: Hawaii has the most ambitious renewable energy goals in the world, reaching 100% of electric power by 2045. Achieving these levels will require the creation of new knowledge and expertise across many scales which can then be used elsewhere as the rest of the world moves toward renewable energy. Challenges include designing smart, grid-interactive load controllers; supporting frequency and voltage stability via storage- or renewable-driven inverters; developing distributed methods to regulate voltage and line flows in high-renewable distribution networks; and using optimization models and advanced market designs to keep the power system balanced on timescales from seconds to decades.
Computer/Grid Security: Cybersecurity education and research is one of the focus areas at both the UH System and UHM levels. UHM is designated as an NSA/DHS Center of Academic Excellence in Cyber Defense Research, which has opened doors for other opportunities, such as the recent NSF CyberCorps Scholarship for Service (SFS) $5M grant. Security issues related to human behavior has become a designated area in NSF’s security program, so collaboration with social sciences is critical to exploit such opportunities. Security related to the Internet of Things (IoT) – with our lives controlled by cyber devices (e.g., phones, home devices) – will soon become urgent.
Statistics, machine learning, signal processing, big data: This core area includes theoretical and algorithmic foundations underlying much of what is today known as Big Data. This inherently multidisciplinary area has high-priority at the UH System level. Specific areas include research spanning the range from machine learning to information theory, communications, and statistical signal processing. NSF has identified and earmarked programs for funding projects in this area to enable a more integrated knowledge economy. The UHM EE Department is part of a $25 million NSF Science Technology Center (Center for Science of Information) with faculty from biology, math, economics, and computer science from 11 universities, and successful candidates with areas of interest in this can expect high visibility for their research as well as funding support through the Center.
Systems: This area includes more traditional areas of control, computer vision, optimization, communication, networks, storage, distributed source coding and allied areas. UH Manoa has always had a strong presence in this area, and is the home of several developments including the ALOHA protocol, Reed Solomon decoders, and the Slepian-Wolf methods. We are looking for exceptional candidates who will build collaborations with other faculty in power, bioengineering, computer engineering, as well as outside the EE department.
Duties: Teach and develop undergraduate and graduate courses in the area of electrical and computer engineering, including teaching via various distance delivery modes as required. Develop externally funded research programs resulting in publications in leading scholarly journals, publish research work, supervise graduate students, and provide departmental, college and university service.
Minimum qualifications: An earned Ph.D. (by start date) in Electrical and/or Computer Engineering, Computer Science, or a related discipline, with a strong research record of accomplishment and potential for establishing a federally funded research program.
The core search areas are nano/biotechnology, renewable energy, cyber/grid security, computer vision, information/signal processing and machine learning including big data. Exceptional candidates in other areas of electrical and computer engineering will also be considered, but candidates must show how their research will advance one (or more) of the core search areas.
Pay range: Commensurate with qualifications and experience.
To apply: Applicants should follow the instructions at the following website to electronically submit their materials http://www4.eng.hawaii.edu/apply. The applicant should submit a cover letter specifying the position and the research area; a statement on research interests, activities, and plans; a statement on teaching philosophy, interests, and plans; a curriculum vitae detailing research and teaching accomplishments; copies of up to 5 relevant publications; and the names, addresses, e-mail, and telephone numbers of at least 4 references.
Inquiries: Prof. David Garmire, Department of Electrical Engineering, 2540 Dole Street, Holmes Hall 483, Honolulu, Hawai'i 96822, email: firstname.lastname@example.org
Continuous recruitment: Review of applications will begin March 15, 2017, and will continue until the position is filled.
The University of Hawaiʻi is an equal opportunity/affirmative action institution and is committed to a policy of nondiscrimination on the basis of race, sex, gender identity and expression, age, religion, color, national origin, ancestry, citizenship, disability, genetic information, marital status, breastfeeding, income assignment for child support, arrest and court record (except as permissible under State law), sexual orientation, national guard absence, or status as a covered veteran.
Individuals with disabilities who need a reasonable accommodation for the application or hiring process are encouraged to contact the EEO/AA coordinator(s) for the respective campus.
Employment is contingent on satisfying employment eligibility verification requirements of the Immigration Reform and Control Act of 1986; reference checks of previous employers; and for certain positions, criminal history record checks.
In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, annual campus crime statistics for the University of Hawaii may be viewed at: http://ope.ed.gov/security/, or a paper copy may be obtained upon request from the respective UH Campus Security or Administrative Services Office.In accordance with Article 10A of the unit 08 collective bargaining agreement, bargaining unit members receive priority consideration for APT job vacancies. As a result, external or non BU 08 applicants may not be considered for some APT vacancies. BU 08 members with re-employment rights or priority status are responsible for informing the hiring unit of their status.