Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.
Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting.
POSTDOCTORAL ASSOCIATE, Institute for Data, Systems, and Society (IDSS)-Statistics and Data Science Center, to perform independent research in machine learning (ML) and applications, in the general area of theoretical ML with a focus on statistical and computational aspects of deep learning, equivariant neural networks, generalization, robustness, as well as applications in learning tasks in chemistry and physics. Will be mentored jointly by Boaz Barak (Harvard) and Alexander Rakhlin (MIT).
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 interdisciplinaryenvironment; and a commitment to participating in IDSS activities. Job #20419
In addition to applying online via the MIT HR website with a cover letter and CV, candidates must also submit the following documents in PDF format to AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/20500: 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 https://academicjobsonline.org/ajo/jobs/20500.
The application deadline is December 15, 2021.
This will be a one-year appointment beginning on September 1, 2022 (or earlier), with the possibility of renewal for a second year based upon satisfactory performance. The second year may be based at Harvard University.