Research Scientist in Electrical and Computer Engineering

The University of Virginia, Department of Electrical and Computer Engineering, School of Engineering and Applied Sciences, is seeking applicants for a Research Scientist position. The primary responsibilities for this position include research, scholarship, and service to the department, university, and professional community. The compensation will be commensurate with experience and qualifications.

The Electrical and Computer Engineering (ECE) Department at the University of Virginia (UVA) offers a vibrant environment for interdisciplinary research and collaboration, with strengths in areas such as machine learning, imaging, cyber-physical systems, embedded systems, communication networks, and sensor systems. Faculty members benefit from access to cutting-edge facilities and are encouraged to engage in research that addresses societal challenges.

The successful candidate is expected to establish an innovative research program that builds upon existing strengths at UVA in signal processing, machine learning, and education. This includes engaging collaboratively with faculty and scientists at UVA and beyond, as well as generating research proposals, promoting scholarship, engaging in service, and mentoring students to support a growing program. The successful candidate is also expected to engage in and further ongoing projects with the School of Education and Human Development at UVA.

Qualifications::

• A Master’s or Ph.D. in Electrical Engineering, Computer Engineering or Computer Science, is required by the start date. A PhD is preferred.

• A strong record of an innovative research program in this area and a track record of participation in funded research. Candidates should demonstrate an aptitude and commitment to mentoring at the graduate level.

• A minimum of four years of experience in computer vision, image processing, and machine learning. Experience must include the following:

• Minimum of two years of demonstrated experience with the development and testing of machine learning models for image analysis and computer vision.

• The candidate should have expertise in artificial intelligence, including the design, testing, and analysis of machine learning architectures.

• Experience with image processing, image analysis, and computer vision is desired.

The Electrical and Computer Engineering (ECE) Department at the University of Virginia (UVA) offers a vibrant environment for interdisciplinary research and collaboration, with strengths in areas such as machine learning, imaging, cyber-physical systems, embedded systems, communication networks, and sensor systems. Faculty members benefit from access to cutting-edge facilities and are encouraged to engage in research that addresses societal challenges.

The city of Charlottesville boasts a thriving intellectual community and cultural life, with easy access to recreational venues and convenient travel to Richmond, Washington D.C. and Research Triangle Park. The scenic Central Virginia countryside and vigorous economy make Charlottesville one of the most highly rated locations in the nation. For more information about UVA and the area, please see https://www.virginia.edu/life/Charlottesville .

APPLICATION PROCEDURE: Apply online at https://jobs.virginia.edu/us/en/job/R0072273 and attach a cover letter, CV/resume, and contact information for three references (name, email address, telephone number, and address).

Please note that multiple documents can be uploaded in the box. Incomplete applications will not be considered.

APPLICATION DEADLINE: Review of applications will begin on May 30, 2025, but the position will remain open until filled. The University will perform background checks on all new hires prior to employment.

This is a one-year appointment; however, the appointment may be renewed, contingent upon available funding and satisfactory performance.

For questions about this position, please contact Scott Acton, Professor and Chair, Electrical and Computer Engineering at acton@virginia.edu .

For questions regarding the application process, contact Rich Haverstrom, Academic Recruiter, at rkh6j@virginia.edu .

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physicians Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experience. We are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.