We are looking for undergraduate researchers, graduate students and postdocs in the ML foundations group.
For undergraduate students, we are only able to work with students at Harvard or MIT (with preference to the former). If you are a Harvard or MIT student interested in collaborating, informally or formally, with us, please fill out the following google form. Students might also be interested in taking Boaz’s Spring 2023 seminar on the foundations of deep learning.
For graduate students we have openings in Computer Science, Electrical Engineering,applied mathematics or statistics degrees. New: Kempner Institute Graduate Fellowship: See more details here
If you are applying for graduate studies in CS and are interested in machine learning foundations, please mark both “Machine Learning” and “Theory of Computation” as areas of interest. Please also list the names of faculty you want to work with on your application. ML foundations group faculty include Demba Ba (Electrical Engineering and Bioengineering), David Alvarez-Melis, Boaz Barak, Sitan Chen, Jonathan Frankle, Sham Kakade (Computer Science), Cengiz Pehlevan (Applied Mathematics), and Lucas Janson (Statistics). There are also ML foundations affiliated faculty in all of the above departments and more. All of us are also open to the possibilities of co-advising students, including across different departments and schools.
The faculty search in the 2022-3 academic year (for positions starting in Fall 2023) in the school of engineering and applied sciences is focused on climate and energy, which includes also more topics related to machine learning such as energy-system modeling, sustainable algorithms, and more. See here for more details
Postdoc opportunities for 2023-2024 Academic year:
There are a number of opportunities at Harvard for postdoc positions. Applying to multiple positions is not just allowed but encouraged, and we urge you to apply to any of those that are of interest to you.
Follow us on social media for announcements of more opportunities.