University of Toronto
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Funded PhD Opportunity in NeuroAI and Computational Neuroscience University of Toronto in Canada
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD opportunity is funded.
Deadline
Dec 1, 2026
Country
Canada
University
University of Toronto

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About this position
Funded PhD opportunity in NeuroAI and Computational Neuroscience at the University of Toronto, in Y. Helena Liu’s incoming research group and the Department of Psychology (AI for Psychological Sciences).
This opening is aimed at students interested in interdisciplinary research spanning neuroscience, psychology, computer science, statistics, mathematics, physics, and engineering. The post highlights that applicants from these fields are welcome, and that scientific programming experience plus basic linear algebra and statistics are expected. Prior neuroscience or psychology training is not required.
The position is described as funded. The deadline is December 1, 2026 for September 2027 admission.
How to apply: email your CV and a brief description of your research experience and interests to [email protected], and also submit a formal application to the University of Toronto Psychology graduate program.
Lab information is available on the group website: https://helena-yuhan-liu.github.io
Funding details
The PhD opportunity is funded.
What's required
Applicants from computer science, engineering, statistics, mathematics, physics, neuroscience, psychology, or related fields are welcome. Scientific programming experience and basic linear algebra and statistics are expected. Prior neuroscience or psychology training is not required.
How to apply
Email your CV and a brief description of your research experience and interests to [email protected]. You must also submit a formal application to the University of Toronto Psychology graduate program.
More information can be found here
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