Join the Group

I am currently recruiting researchers for my group at Mila and Concordia University at multiple levels, including PhD students, Postdoctoral Fellows, Master's students, and PhD interns.

Research Focus

Research topics are flexible but should align with the ongoing work in our group. Potential areas of focus include:

• Large-Scale Distributed Learning: Topics such as communication efficiency, decentralization, asynchrony, and model parallelism. Relevant works: arXiv:2406.02613, arXiv:2505.23725, arXiv:2306.08289, arXiv:2507.09029
• Learned Optimizers: Relevant works: arXiv:2506.10315, arXiv:2406.00153, arXiv:2501.12670
• Federated Learning on the Edge: Relevant work: arXiv:2306.03937
• Continual Learning (especially for LLMs) and large context
• Other Topics in Efficient Training: Scaling laws, distributed reinforcement learning, model distillation, neural architecture search, long-context modeling, and hyperparameter transfer.
• Mechanistic Interpretability and AI Safety

Application

Interested candidates are invited to send informal inquiries to eugene.belilovsky@concordia.ca. Please include [ReadWebsite] in your email header.