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Tokyo Metropolitan University

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Postdoctoral Fellow in AI, Machine Learning, and Recommendation Systems Toronto Metropolitan University in Canada

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fully funded postdoctoral fellowship for one year, with the possibility of renewal for a second year depending on funding availability.

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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
Statistics
Digital Platform
Recommender System
ML

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About this position

Postdoctoral Fellow Opportunity at Toronto Metropolitan University with collaboration from the Oxford Human-Algorithm Interaction (HAI) Lab at Saïd Business School, University of Oxford.

The project focuses on artificial intelligence, machine learning, data analytics, and recommendation systems, with applications to personalized decision-making, digital platforms, digital health, and mental well-being. The fellow will work with Dr. Nancy Yang and Dr. Hossein Zolfagharinia at TMU and Dr. Kejia Hu at Oxford.

This is a fully funded postdoctoral position for one year, with a possible second-year renewal depending on funding availability. The post indicates a start date of November 1, 2026.

No detailed eligibility criteria, deadline, or application link are included in the post text shown here; the poster directs readers to the attached file for full details.

Funding details

Fully funded postdoctoral fellowship for one year, with the possibility of renewal for a second year depending on funding availability.

What's required

Applicants should be qualified for a postdoctoral fellowship in AI, machine learning, data analytics, and recommendation systems. The post does not list detailed eligibility criteria in the text provided; see the attached file for full requirements.

How to apply

Review the attached file for full details of the position and application instructions. The post itself does not provide an application portal or email address.

More information can be found here

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