Research Associate in Computer Science
About The Position
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.
Requirements
- Ph.D. in computer science, electrical engineering, operations research, or a related field by the start date.
- Strong machine-learning research record.
- Rigorous mathematical and experimental skills.
- Ability to deliver high-quality results on short timelines.
- Proficiency with frameworks such as PyTorch is expected.
Nice To Haves
- Expertise in generative or diffusion models.
- Expertise in optimal power flow and power systems.
- Expertise in graph neural networks.
- Expertise in constrained or physics-informed machine learning.
- Prior power-systems experience is highly beneficial.
Responsibilities
- Develop novel physics-constrained generative AI methods (diffusion models and flow matching) for real-time transmission-grid topology control.
- 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.
- Enhance skills in teaching, mentoring, and proposal development.
- Lead technical deliverables and manuscripts targeting top-tier machine-learning conferences and leading journals in power systems.
Benefits
- Benefits available to postdoctoral associates at UVA
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
