Research Associate in Computer Science

The Department of Computer Science at the University of Virginia is seeking a Research Associate in the lab of Professor Haiying Shen.

The successful candidate will perform studies aimed at understanding (a) Systems for Machine Learning (e.g., LLM), (b) Machine Learning for Systems including Cloud and Edge Computing, and (c) Distributed Systems and Networks. Requirements for the position include strong background in these topics. The candidate will work with current graduate students, analyze and interpret experimental results, and write manuscripts.

QUALIFICATION REQUIREMENTS: a Ph.D. in Computer Science or related field is required by the start date. Experience in cloud computing is required and machine learning applications is preferred.

APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and attach a cover letter, a curriculum vitae, and contact information for three references.

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

APPLICATION DEADLINE: Review of applications will begin on September 1, 2024, 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 one year, contingent upon satisfactory performance.

For questions regarding this position, please contact Haiying Shen, Professor, at hs6ms@virginia.edu .

For questions about the application process, please contact Richard Haverstrom, Academic Recruiter, 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.

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, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.