Closed listing
Doctoral And Master’s Student In Artificial Intelligence
- Toronto, ON, Canada
This opening has closed.
The original listing is kept below for reference.
Job details
- Closing date
- Posting language
- English
- Posted
Similar jobs hiring now
Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
🎓 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
More about this job
Responsibilities
Conduct research in areas such as large language model bias, computer vision, generative AI, AI for drug discovery, and foundation models. Formulate research questions, design experiments, analyze and interpret results, and communicate findings through research activities and publications.
Requirements
Applicants should have a strong foundation in computer science, mathematics, or electrical engineering, proficiency in AI programming tools such as Python and PyTorch, and relevant research skills. They must meet York University’s academic admission criteria, have a relevant bachelor’s or master’s degree for the intended program, be eligible to study without a visa, and be willing to participate in on-campus research activities in Toronto.
Skills
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Science
- Natural Language Processing
- Computer Vision
- Generative AI
- Large Language Models
- Python
- PyTorch
- Research Methods
- Experimental Design
- Data Analysis
- Academic Literature Review
- Problem-Solving
- Analytical Thinking
Benefits
- Access to Vector Institute GPU Clusters and Workspace
- Research Projects with CIFAR
Visa sponsorship
Not detected in the job text
Categories
- Science & Research
- Education
- Technology
- Data & Analytics
- Software
Keywords
- Artificial Intelligence
- Large Language Models
- LLM Bias
- Computer Vision
- Generative AI
- AI for Drug Discovery
- Foundation Models
- Machine Learning
- Deep Learning
- Data Science
- Natural Language Processing
- Python
- PyTorch
- Research Methods
- Research Questions
- Experimental Design
- Data Analysis
- Academic Literature
- Research Publications
- CIFAR
- Vector Institute
- GPU Clusters
- York University
- Toronto
- Multidisciplinary Research