Postdoc in Foundations of Data Science

Yale’s Institute for Foundations of Data Science (FDS) is seeking applications for postdoctoral positions in Data Science. These will be generously supported postdoctoral positions, expected to last 2-3 years, for independent scholars working on the foundations of data science. FDS postdocs can select multiple mentors from among the members of the institute, and can change their mentors during their fellowship. This is an opportunity to work with leading theorists as well as domain scientists who are eager to collaborate.

A list of the members may be found on our web page, fds.yale.edu. Yale’s Data Science Initiative has supported the rapid growth of the departments of Statistics & Data Science and Computer Science, as well as many interdisciplinary activities in which the postdocs could participate. FDS launched in October of 2022 and moved into a newly renovated Kline Tower in the summer of 2023 along with the departments of Statistics & Data Science, Mathematics, and Astronomy.

The institute was created to advance research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines. In addition to providing support to core foundational research, the institute hosts activities to help scholars across the university apply new methods of data science to their research. In turn, those scholars help us discover their unmet needs and thereby inspire the development of new methods and theories.

Timeline:
Postdoctoral appointments typically begin in July to September, but other arrangements are possible. We will begin reviewing applications on November 6th, 2026. Applications received by then will receive full consideration.

Funding:
The yearly salary for the postdoctoral fellows is $103,000. They will also be supplied with a $10,000 / year fund to cover travel and research expenses. Questions may be sent to FDS Managing Director Tom Keegan at thomas-dot-keegan @ yale-dot-edu

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