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The Center for Algorithms Data and Market Design (CADMY) is a cross-university center that seeks to support and further research at the intersection of computer science data science and economics.
CADMY is offering several Postdoctoral Associate positions designed for recent graduates of Ph.D. programs working at the intersection of Computer Science Data Science and Economics. We are particularly interested in candidates with interest in algorithms causal inference game theory learning machine learning market design and networks but all subjects at the intersection of these three scientific disciplines are invited to apply.
Applicants must have completed their Ph.D. prior to beginning of their appointment as a Postdoctoral Associate and are expected to have a strong research and publication record. Postdoctoral Associates are expected to be present on the Yale campus three full days per week contribute to research and publications and participate in seminars and conferences at Yale. Associates are strongly urged to reside in the New Haven area.
The resident Postdoctoral Associate will start their appointment in the Fall of 2026 for a duration of one year; Postdoctoral Associates may apply for a second year of support. CADMY Postdoctoral Associates receive a salary of 90000 USD per year plus Yale benefits a travel/research stipend of 10000 USD and office space.
All applications should include the following:
A cover letter indicating your interest in the position
CV
Job Market Paper or at least one scholarly writing sample (in English)
A research agenda (3 pages max)
Ph.D. program transcript
Two letters of recommendation
If you have specific questions about the position for which you are applying please contact the CADMY Program Administrator via
The program is open to all regardless of citizenship. Applicants must have completed their PhD prior to the start of the position. The salary complies with the Yale Office of Postdoctoral Affairs compensation policy and includes a comprehensive benefits package.
Required Experience:
IC
Full Time