Research Associate in Electrical and Computer Engineering
Job location: Charlottesville, VA
Employment Type: Full-time
Posted data: 2020-11-12
The Department of Electrical and Computer Engineering in the School of Engineering and Applied Science (SEAS) at University of Virginia is seeking highly qualified applicants for a Post Doctoral Research Associate position.
Work focuses on a study of how neural networks can be used to identify teaching and learning activities in videos of elementary mathematics and reading/language arts classrooms. Specific duties include developing video processing algorithms, analyzing the accuracy and efficiency of different neural networks in identifying instructional activities; attending research team meetings; and helping co-write manuscripts for publication. Incumbents will also receive support and mentoring in ways to improve research skills, the preparation of grant proposals, and responsible research practices. Project work begins in or after January 2021 and individuals are expected to begin work no later than spring 2021. Work will go through May 2023.
QUALIFICATIONS: A Doctoral degree in electrical and computer engineering, computer science or a related field is required by the start date. Outstanding interpersonal, written and verbal communication, and analytic skills are required. Must be able to work from home, if necessary. Knowledge of and expertise in working with neural networks are preferred.
APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and attach a curriculum vitae, cover letter, and contact information for three references.
Please note that multiple documents can be uploaded in the CV box.
APPLICATION DEADLINE: Review of applications will begin on December 1, 2020 and the posting will remain open until filled. The University will perform background checks on all new hires prior to employment.
This is a one-year appointment that may be renewed for up to two additional one-year terms, contingent upon available funding and satisfactory performance.
For questions regarding this position, please contact Scott Acton, Professor, at firstname.lastname@example.org.
For questions regarding the application process, contact Rich Haverstrom, Faculty Search Advisor, at email@example.com.
The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s 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 experiences. We are equal opportunity and affirmative action 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 (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.