Applicants ought to be highly self-motivated, with strong skills and interests in mathematical problem solving and/or experimental work, ideally both. Interviews will likely involve questions on probability, statistics, algorithms, programming, and machine learning.
Topics of interest include various research areas within responsible machine learning and learning theory, including robustness, online learning, privacy, machine unlearning, AI safety, and learning-theoretic perspectives on responsible ML.
We expect to recruit a PhD student starting in Fall 2027.
If you are interested and think you match the requirements above, send Amartya an email explaining your interests and why you think you would be a good match.
Formal applications will open around the end of September through the ELLIS PhD portal.