Research Associate in Electrical and Computer Engineering

Postdoctoral Research Associate - Link Lab at University of Virginia

The Departments of Electrical and Computer Engineering and Computer Science in the School of Engineering and Applied Science at the University of Virginia seek to hire a postdoctoral research associate in the CPS Link Lab to support a research project on Context-Aware Augmented Reality for Cognitive Assistance in Emergency Response. The project focuses on combining AR technology with wearable sensing and embedded computing devices and artificial intelligence capabilities (speech processing, computer vision, natural language processing, and explainable machine learning) to develop a cognitive assistant system that can capture, integrate, and assesses incident data in real-time and provide prioritized aggregated situation awareness to first responders through timely smart notifications. https://www.nist.gov/ctl/pscr/funding-opportunities/past-funding-opportunities/psiap-augmented-reality/context-aware

The candidate is expected to perform one or more of the following activities: generate novel research, contribute to writing papers and proposals, present research results at international conferences and PI meetings, build and maintain CPS testbeds and systems, mentor graduate students, and participate in a multi-disciplinary research team comprised of faculty, senior support staff, graduate students, and undergraduate researchers from different departments and technical backgrounds.

QUALIFCATION REQUIRMENTS: Candidates must have a Ph.D. in Computer Science, Electrical and/or Computer engineering by the start date.

• Research experience and significant implementation experience in Machine Learning, Artificial Intelligence, and Cyber-Physical Systems, is strongly preferred.
• Proficiency with development, implementation, and evaluation of advanced data analytics and machine learning algorithms in common programming languages (e.g., C/C++ and Python).
• Demonstrated ability to be self-motivated, willing to take the lead and work independently and as a team member.
• Demonstrated proficiency in high-quality technical writing and clear communication in English.
• Demonstrated experience in working with a diverse group of researchers and sponsors or varying technical expertise.

APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and attach a cover letter, curriculum vitae, and the contact information for three individuals who can provide professional reference letters (name, email address, telephone number, and address).

Please note that multiple documents can be uploaded in the box .

APPLICATION DEADLINE: Review of applications will begin on April 29, 2022, 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 for an additional two, one-year increments, contingent upon available funding and satisfactory performance.

For additional information about the position, please contact Assistant Professor Homa Alemzadeh at alemzadeh @virginia.edu or Professor Jack Stankovic at stankovic@virginia.edu.

For information about the Link Lab go to https://engineering.virginia.edu/link-lab/

For questions about the application process, please contact Rich Haverstrom, Faculty Search Advisor, at rkh6j@virginia.edu .

For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .

COVID Vaccination Requirement and Guidelines

Please visitthe UVA COVID-19 Job Requirements and Guidelines webpageprior to applying for current information regarding vaccination requirementsandguidelines for employment at UVA.

The University of Virginia, i ncluding 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.