A Research Associate typically has more experience than a Research Assistant. Responsibilities can include the planning and design of research projects, conducting experiments, analyzing data, contributing to research publications or grant proposals, and collaborating with other researchers. Works in a variety of fields within science or the social sciences, in programs based at a university or research institution, or works on government or industry sponsored research projects. Conducts field or library research or recruits participants for a study; may also assist with legal research. These roles are often held by people with advanced degrees in their field of study with several years of experience in research or academia.
Location Charlottesville, Virginia, United States of America Category Research The Rector & Visitors of the University of Virginia Job Id
R0085429
Job Type Full time
JOB DESCRIPTION
The University of Virginia, Department of Computer Science, is seeking applicants for a Research Associate (postdoctoral) position under the supervision of Professor Ferdinando Fioretto. As a key member of the research team, the postdoctoral researcher will develop novel physics-constrained generative AI methods (diffusion models and flow matching) for real-time transmission-grid topology control. The researcher will design topology-agnostic diffusion models that generate diverse switching configurations from post-contingency grid states while satisfying network connectivity, N-1 security, and thermal limits. Concurrently, they will enhance their skills in teaching, mentoring, and proposal development. The successful candidate will lead technical deliverables and manuscripts targeting top-tier machine-learning conferences and leading journals in power systems. The position offers an exceptional collaborative network spanning academia, industry, national laboratories.
QUALIFICATION REQUIREMENTS
A Ph.D. in computer science, electrical engineering, operations research, or a related field by the start date. The candidate should have a strong machine-learning research record, rigorous mathematical and experimental skills, and the ability to deliver high-quality results on short timelines. Expertise in one or more of the following is strongly preferred: generative or diffusion models, optimal power flow and power systems, graph neural networks, constrained or physics-informed machine learning. Proficiency with frameworks such as PyTorch is expected. Prior power-systems experience is highly beneficial.
APPLICATION PROCEDURE
Apply online through UVA Jobs and search for requisition
R0085429.
Upload a current CV, a short statement describing the applicant's research background, interests, and fit, 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 August 15, and 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; The appointment may be renewed for an additional year contingent upon available funding and satisfactory performance. The successful candidate is expected to begin by September 1, 2026, or earlier. For questions regarding this position, contact Ferdinando Fioretto, Associate Professor, at fioretto@virginia.edu. For questions regarding the application process, 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. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .
