Massachusetts Institute of Technology, Institute for Data, Systems, and Society

Position ID:MIT-IDSS-PDA [#20501]
Position Title: Postdoctoral Associate, Reinforcement Learning
Position Type:Postdoctoral
Position Location:Cambridge, Massachusetts 02139, United States [map]
Subject Area: Computer Science / Reinforcement learning
Appl Deadline:2021/12/15 11:59PMhelp popup finished (2021/11/12, finished 2022/03/17, listed until 2022/05/12)
Position Description:    

*** this position has been closed and new applications are no longer accepted. ***

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

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
77 Massachusetts Ave,
Cambridge, MA 02139