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YU
Project Coordinator, Advancement
York University
Toronto, ON
- Contract
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YU
Doctoral And Master’s Student In Artificial Intelligence
York University
Toronto, ON
- Other
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York University

Doctoral And Master’s Student In Artificial Intelligence

Toronto, ON, Canada

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Job details

Apply by: Nov 3, 2026
Posting language: English
Posted: Oct 4, 2026

Original job description

🎓 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

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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

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

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