Postdoctoral Fellowship: MSPRF: Theory and Algorithms for Scalable Decision-Making under Uncertainty
National Science FoundationDescription
This award is made as part of the FY 2026 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines such as Artificial Intelligence and Quantum Information Science, under the mentorship of a sponsoring scientist. The title of the project for this fellowship to Graham Pash is “Theory and Algorithms for Scalable Decision-Making under Uncertainty”. The host institution for the fellowship is the Massachusetts Institute of Technology and the sponsoring scientist is Youssef Marzouk. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. NSF Award ID: 2602583 | Program: 01002627DB NSF RESEARCH & RELATED ACTIVIT | Principal Investigator: Graham Pash | Institution: Pash, Graham Thomas, Austin, TX | Award Amount: $190,000 View on NSF Award Search: https://www.nsf.gov/awardsearch/show-award/?AWD_ID=2602583 View on Research.gov: https://www.research.gov/awardapi-service/v1/awards/2602583.html
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Grant Details
$190,000 - $190,000
August 31, 2030
Austin, TX
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