🎓 PhD & MSc openings at ResponsibleAI Lab, York University
We're recruiting students working on LLM bias, computer vision, generative AI, AI for drug discovery and foundation models.
💰 $10K top-up for exceptional candidates, on top of the York funding package, if you don't secure another external award
✅ 100% of our trainees have won competitive awards, totalling over $1M
✅ Access to Vector Institute GPU clusters and workspace
✅ Projects with CIFAR, plus strong publications at top AI venues
📍 Open only to Canadian citizens, permanent residents and applicants already in Canada who need no visa
📅 Deadline: Oct 30, 2026
Qualifications
- Strong foundation in computer science, mathematics, or electrical engineering, including proficiency in programming languages commonly used in AI (e.g., Python, PyTorch, etc.).
- Background or interest in key AI areas such as machine learning, deep learning, data science, natural language processing, computer vision.
- Experience with research methods, including formulating research questions, designing experiments, performing data analysis, and interpreting results.
- Ability to read, synthesize, and critically evaluate academic literature, and to communicate findings clearly in written and oral formats.
- Demonstrated problem-solving skills, analytical thinking, and capacity to work both independently and collaboratively in multidisciplinary teams.
- Completed or nearing completion of a relevant bachelor’s or master’s degree for admission to the master’s or doctoral program, respectively, meeting York University’s academic and admissions criteria.
- Interest in applying AI to address real-world challenges and contributing to York University’s mission of positive societal impact.
- Willingness to be present on campus in Toronto, ON, and to participate actively in seminars, workshops, and research group activities.
- A/A+ GPA, B+ for exceptional candidates with strong research experience.
- More information and linke to apply: https://docs.google.com/forms/d/e/1FAIpQLSfY9HDZuqji8M51C3DLfGT1GqqQ5iW9Tgp-UY3VjLR2j8RgQQ/viewform?usp=dialog