Current Postdocs
Siqi Liu, Ph.D. in Computer Science, University of California Berkeley, 2023
- DIMACS Postdoc (2023-2024)
Daniel Schoepflin, Ph.D. in Computer Science, Drexel University, 2023
- DIMACS Postdoc (2023-2024)
Zihan Tan, Ph.D. in Computer Science, University of Chicago, 2022
- DIMACS Postdoc (2022-2024)
View All Past Postdocs
Apply to become a DIMACS postdoc
DIMACS, the Center for Discrete Mathematics and Theoretical Computer Science, invites applications for postdoctoral associate positions beginning in Fall 2024. Applicants should be recent Ph.D.'s with interest in DIMACS areas, such as computer science, discrete mathematics, statistics, physics, operations research, data science, AI, machine learning, ethics of algorithms, and their applications, and more.
We are currently seeking applications for two positions:
(1) DIMACS/IAS Postdoc. This is a two-year postdoctoral associateship with the first year (2024-2025) spent at DIMACS, and the second year (2025-2026) spent at IAS in Princeton, New Jersey. There is a requirement to teach one course during the first year. Applicants should be recent PhD graduates with interest in theoretical computer science and/or discrete mathematics. Research areas include but are not limited to: computational complexity, algorithms, optimization, cryptography, combinatorics, graph theory, and discrete probability. For this position, candidates must apply to both DIMACS and IAS.
Applicants must apply by December 1, 2023 to both DIMACS and IAS for this position for full consideration. [DIMACS application and information] [IAS application information]
(2) DIMACS Postdoc in Economics and Computation area of Artificial Intelligence, in collaboration with the Department of Computer Science at Rutgers University. This is a one-year position based at DIMACS at Rutgers University. The postdoc will be mentored by a faculty member at Rutgers or a DIMACS partner institution and be able to participate in the breadth of activities at DIMACS, while working on an original research program. Topics include but are not limited to: algorithmic game theory, auctions, computational social choice, crowdsourcing, information elicitation, machine learning in economics, mechanism/market design, and prediction markets. Applicants should be recent PhD graduates in computer science, economics, information science, operations research, or a related field, preferably with a focus in artificial intelligence or theory. Applications are due by December 1, 2023 for full consideration.