The MIT Statistics and Data Science Center at the Institute for Data, Systems, and Society is seeking applicants for a Postdoctoral Associate in the general areas of statistical learning, reinforcement learning, and theoretical statistics.
Applicants should have a solid background in probability and statistics/machine learning. The postdoctoral fellow will be mentored by Alexander Rakhlin (MIT). We will start reviewing applications on December 15th. This will be a one-year appointment beginning on July 1, 2023 (or earlier), with the possibility of renewal for a second year based upon satisfactory performance.
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.
Candidates must also submit the following documents in PDF format to AcademicJobsOnline at #23736: 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 #23736.