The MIT Statistics and Data Science Center at the Institute for Data, Systems, and Society is seeking applicants for a Postdoctoral Associate in the area of reinforcement learning, with a focus on the theoretical foundations of RL and bandits (such as sample complexity and computationally efficient methods), as well as possible applications in neuroscience.

Applicants should have a solid background in probability and statistics/machine learning. The postdoctoral fellow will be mentored by Alexander Rakhlin (MIT).

The application deadline is December 15, 2021. This will be a one-year appointments beginning on September 1, 2022 (or earlier), with the possibility of renewal for a second year based upon satisfactory performance.
Job Requirements:

Required: a Ph.D. (expected or obtained) in statistics, engineering, computer science, mathematics, economics, operations research, or a related field; strong analytical and written communication skills; ability to work effectively in an interdisciplinary environment; and a commitment to participating in IDSS activities.

In addition to applying online via the MIT HR website with a cover letter and CV (Job#:20420), candidates must also submit the following documents in PDF format to AcademicJobsOnline at a research statement of up to four pages and the names and addresses of three or more individuals who will provide letters of recommendation. At least one letter-writer should be external to MIT. The letters must also be submitted directly through at

MIT is an Equal Opportunity/Affirmative Action employer

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