Research Scientist in Electrical and Computer Engineering

University of Virginia; Charlottesville (VA); On-site; USD 60,000 - 100,000; Full time

Job summary

An innovative research opportunity awaits at a prestigious institution, where you can contribute to cutting-edge developments in machine learning and computer vision. As a Research Scientist, you'll engage in groundbreaking research, collaborate with talented faculty, and mentor the next generation of engineers. This role offers a vibrant environment for interdisciplinary research, with access to state-of-the-art facilities and a commitment to addressing societal challenges. Join a thriving intellectual community in a city known for its cultural richness and recreational opportunities, and make a significant impact in the field of electrical and computer engineering.

Qualifications

• Master’s or Ph.D. required; Ph.D. preferred.
• 4+ years of experience in computer vision and machine learning.

Responsibilities

• Establish innovative research programs in signal processing and machine learning.
• Collaborate with faculty and mentor students in ongoing projects.

Skills

Machine Learning

Image Processing

Computer Vision

Artificial Intelligence

Research Proposal Generation

Mentoring Graduate Students

Education

Master’s or Ph.D. in Electrical Engineering

Ph.D. in Computer Engineering

Ph.D. in Computer Science

Job description

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 include research, scholarship, and service to the department, university, and professional community. Compensation will be commensurate with experience and qualifications.

The Electrical and Computer Engineering (ECE) Department at UVA offers a vibrant environment for interdisciplinary research in areas such as 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 successful candidate is expected to establish an innovative research program building upon UVA's strengths in signal processing, machine learning, and education. Responsibilities include collaborating with faculty and scientists, generating research proposals, promoting scholarship, engaging in service, mentoring students, and supporting ongoing projects with the UVA School of Education and Human Development.

Qualifications:

1. A Master’s or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science is required by the start date; a PhD is preferred.
2. A strong record of innovative research and participation in funded projects, with an aptitude and commitment to mentoring graduate students.
3. Minimum of four years of experience in computer vision, image processing, and machine learning, including:
1. At least two years of experience developing and testing machine learning models for image analysis and computer vision.
4. Expertise in artificial intelligence, including design, testing, and analysis of machine learning architectures.
5. Experience with image processing, image analysis, and computer vision is desirable.

UVA offers a vibrant environment for interdisciplinary research, with strengths in machine learning, imaging, cyber-physical systems, embedded systems, communication networks, and sensor systems. Faculty have access to state-of-the-art facilities and are encouraged to address societal challenges.

The city of Charlottesville provides a thriving intellectual and cultural community, with easy access to recreational venues and travel options to Richmond, Washington D.C., and Research Triangle Park. For more information, see https://www.virginia.edu/life/Charlottesville.

Application Procedure:

Apply online at https://jobs.virginia.edu/us/en/job/R0072273 with a cover letter, CV/resume, and contact information for three references (name, email, phone, address). Multiple documents can be uploaded. Incomplete applications will not be considered.

Application Deadline:

Review begins on May 30, 2025, and the position remains open until filled. Background checks will be performed on all hires. This is a one-year appointment, renewable based on funding and performance.

Contacts:

For questions about the position: Scott Acton, Professor and Chair, Electrical and Computer Engineering, [e-mail].

For application process inquiries: Rich Haverstrom, Academic Recruiter, [e-mail].

The University of Virginia and UVA Health System are committed to diversity and are equal opportunity employers. All qualified applicants will receive consideration regardless of age, race, gender, disability, or other protected status.