Machine Learning Visiting Scholar Program

Spend a year at the Flatiron Institute applying machine learning to problems of scientific interest.

The Flatiron Institute’s Machine Learning Visiting Scholar Program is designed to spur further collaboration between researchers at the Flatiron Institute and in academia applying machine learning to problems of scientific interest. The program will provide support to current faculty members who wish to spend sabbaticals or leaves of absence and to junior researchers who are able to defer their start date at a tenure-track position in academia in order to spend a research year at the Flatiron Institute.

The program will support up to four visiting scholars at a time, with visits up to one year in length. Junior researchers will be hired as associate research scientists with one-year appointments; senior researchers will typically have a visiting appointment compatible with their university’s sabbatical leave policies. Visiting scholars will be offered subsidized housing, salary and benefits as appropriate, travel and other research-related expenses.

Program Director

Lawrence Saul headshot.

Lawrence Saul

Senior Research Scientist, Center for Computational Mathematics

Advisory Committee

Portrait photo of Bob Carpenter

Bob Carpenter

Senior Research Scientist, Center for Computational Mathematics

Portrait photo of David Hogg

David Hogg

Senior Research Scientist, Center for Computational Astrophysics

Portrait photo of Antoine Georges

Antoine Georges

Director, Center for Computational Quantum Physics

Portrait photo of Mitya Chklovskii

Dmitri "Mitya" Chklovskii

Group Leader, Neural Circuits and Algorithms, Center for Computational Neuroscience

Portrait photo of Olga Troyanskaya

Olga Troyanskaya

Senior Research Scientist, Center for Computational Biology

A person with short, curly brown hair and glasses smiles at the camera, wearing a black hoodie, in front of a dark blue background.

Jutta Rogal

Research Scientist, Initiative for Computational Catalysis