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

Apply for a post-doc fellowship at the University of Toronto, working on world models and reinforcement learning for traffic signal control. Deadline for application is early February 2026.

A post-doc fellowship opportunity 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.

Key responsibilities include:

• Publishing in top research venues
• Producing high-quality deliverable code for research funding partners
• Providing research supervision

To apply, email ssanner@mie.utoronto.ca with your CV, GitHub public account link, and a brief statement of interest by early February 2026.

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