Post-Doc Fellowship in World Models and RL for Traffic Control at U. of Toronto

Post-doc fellowship available at University of Toronto for research in world models and reinforcement learning for traffic signal control. Apply by February 2026.

A post-doc fellowship is available at the University of Toronto, focusing on world models and reinforcement learning for traffic signal control. Candidates should have a strong publication record in top-tier machine and reinforcement learning venues, with ideal experience in traffic systems.

Responsibilities include publishing in top research venues, producing high-quality code for research partners, and providing research supervision.

• Deadline for fellowship application submission: early February 2026
• Expected commencement: no later than September 2026

To apply, email ssanner@mie.utoronto.ca with your CV, GitHub public account link, and a brief statement of interest.

Tags: Post-Doc Fellowship, Reinforcement Learning, Traffic Control, World Models, University of Toronto, Machine Learning, AI Research