Publisher
source

Tokyo Metropolitan University

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Postdoctoral Fellow in AI/ML and Recommendation Systems at Toronto Metropolitan University and University of Oxford Toronto Metropolitan University in Canada

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral fellow position; funding details are not specified in the post excerpt.

Deadline

Sep 30, 2026

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Country

Canada

University

Tokyo Metropolitan University

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Keywords

Computer Science
Psychology
Information Technology
Artificial Intelligence
Business
Management
Digital Health
Medical Science
Recommender System
ML

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About this position

Postdoctoral Fellow opportunity in AI/ML and Recommendation Systems at Toronto Metropolitan University, in collaboration with the Oxford Human-Algorithm Interaction Lab at Saïd Business School, University of Oxford.

The project sits at the intersection of computer science, information technology, management, and applied research in digital health and mental well-being. The post highlights work on artificial intelligence, machine learning, recommendation systems, and human-algorithm interaction.

Supervisory/collaborative names mentioned include Hossein Zolfagharinia (Associate Professor, Toronto Metropolitan University), Dr. Xingwei (Nancy) Y., and Dr. Kejia Hu (University of Oxford).

This is a postdoctoral opening, not a PhD or master's call. The post does not specify salary, stipend, or other funding details in the text provided, but it is presented as a formal research fellow position.

Applications will be reviewed beginning September 30, 2026. Interested candidates should consult the attached posting for full eligibility and application instructions.

Funding details

Postdoctoral fellow position; funding details are not specified in the post excerpt.

What's required

Applicants should be qualified for a postdoctoral fellow position. The post indicates the role is for candidates with a PhD already, and the research background should align with AI, machine learning, recommendation systems, and related applications in digital health and mental well-being.

How to apply

Review applications begin on September 30, 2026. Check the attached posting for full details and apply through the process described there.

More information can be found here

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