OpenFieldVector Institute for Artificial Intelligence Research Placements
Frontier research placements inside the Vector Institute in downtown Toronto, collaborating with world-leading machine learning researchers on foundational neural architectures, AI safety, and health informatics.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Graduate student in Computer Science, Statistics, or Applied Mathematics with top-tier grades.
- English language proficiency
- Fluent technical English communication.
- Standardized testing (GRE/GMAT)
- Not required.
- Thesis / Research statement
- Published or submitted research in deep learning, generative modeling, or reinforcement learning.
- Recommendation letters
- Endorsement from a Vector Faculty Affiliate and academic CV.
How much will it cost? How much funding is available?
- Financial support / stipend
- Funded research internships and Vector Postgraduate Fellowships supported by CIFAR and Pan-Canadian AI Strategy
- Application fee
- Free application directly to affiliated faculty
- Tuition / joining costs
- Zero tuition; paid graduate research position.
Dates and verification
- Application deadline
- March 31, 2027 for collaborative lab research rotations
- Last source review
- 2026-10-14
Important verification note
Facts reflect official University of Toronto documentation reviewed 2026-10-14. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-14 · Editorial standards · Report an issue