Be part of the next generation of decision-making AI.

Who we're looking for

We welcome applications from prospective PhD, MASc, and MEng students, as well as undergraduate research assistants and visiting scholars with backgrounds in operations research, computer science, electrical & computer engineering, applied mathematics, statistics, or a closely related field.

Strong candidates typically bring a foundation in probability and optimization, familiarity with Python and modern machine learning frameworks (PyTorch, JAX, or similar), and a curiosity for research at the boundary between theory and practice.

What to include in your application

• A short description of your research interests and why they align with DORL.
• An up-to-date CV, including publications, projects, and coursework.
• Transcripts (unofficial copies are fine for an initial inquiry).
• Links to any code, papers, or portfolios you would like us to see.

PhD applicants should also apply through the official MIE Graduate Studies channel at the University of Toronto.