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The University of Virginia is seeking a Research Scientist in the Electrical and Computer Engineering Department. The role involves establishing a research program, collaborating with faculty, and mentoring students. Candidates should have a Ph.D. and experience in machine learning and computer vision.
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 UVA offers a vibrant environment for interdisciplinary research and collaboration, with strengths in machine learning, imaging, cyber-physical systems, embedded systems, communication networks, and sensor systems. Faculty benefit from access to cutting-edge facilities and are encouraged to engage in research addressing societal challenges.
The UVA ECE Department offers a collaborative environment with access to state-of-the-art facilities. Charlottesville provides a vibrant community with cultural, recreational, and convenient access to major cities. For more information, visit https://www.virginia.edu/life/Charlottesville.
Apply online at https://jobs.virginia.edu/us/en/job/R0072273 with a cover letter, CV/resume, and contact information for three references. Multiple documents can be uploaded; incomplete applications will not be considered.
Review begins May 30, 2025, but the position remains open until filled. Background checks will be conducted prior to employment.
This is a one-year appointment with potential renewal based on funding and performance.
Questions about the position: Scott Acton, Professor and Chair, acton@virginia.edu
Questions about the application process: Rich Haverstrom, Recruiter, rkh6j@virginia.edu
We are committed to diversity and equal opportunity employment.