Funding Opportunities

As a hub for the intersection of Physics and AI in the Boston area and beyond, we are happy to share funding opportunities at this intersection as we become aware of them.

Note: These are opportunities external to IAIFI. For IAIFI-related job opportunities, see our IAIFI Jobs page.

CIFAR Azrieli Global Scholars Program
CIFAR
Deadline: 2025-11-05 | Learn more

Details The CIFAR Global Scholars Program offers early-career researchers the opportunity to develop and lead high-risk, high-reward interdisciplinary research, expand their professional networks and receive focused leadership training in their pivotal first years as independent investigators. These experiences accelerate the rise of research leaders who are positioned to drive new discoveries and open new fields of inquiry. CIFAR welcomes applications from candidates across the natural, biomedical, and social sciences, as well as the humanities. Successful applicants join one of CIFAR’s interdisciplinary research programs, collaborating with global research leaders to advance transformative knowledge and address some of the most important questions facing science and humanity.

Jane Street Graduate Research Fellowship (GRF)
Jane Street
Deadline: 2025-11-21 | Learn more

Details The Jane Street Graduate Research Fellowship (GRF) supports exceptional doctoral students currently pursuing a PhD in electrical engineering and computer science, mathematics, physics, or statistics. At Jane Street, we take a rigorous, quantitative approach to trading on global markets, combining techniques from machine learning, distributed systems, programmable hardware, statistics, and applied mathematics. Our culture is steeped in games, puzzles, and challenging problems. With the Graduate Research Fellowship, we’re excited to support PhD students who share our values: technical excellence, intellectual curiosity, and humility.

This project is supported by National Science Foundation under Cooperative Agreement PHY-2019786. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.