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.
Country
Canada
University
Tokyo Metropolitan University

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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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