Publisher
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Tokyo Metropolitan University

Postdoc in AI/ML Recommendation Systems for Digital Health and Mental Well-Being Decision-Making Toronto Metropolitan University in Canada

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fully funded postdoctoral position for 1 year, renewable. Starts November 1, 2026 or as soon as possible after.

Deadline

Sep 30, 2026

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Country

Canada

University

Tokyo Metropolitan University

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Keywords

Computer Science
Data Science
Psychology
Information Technology
Decision Making
Artificial Intelligence
Business
Python Programming
Digital Health
Medical Science
Clinical Informatics
Salud Pública
Management Science
Statistics
Recommender System
Information Systems
Large Language Models
ML

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About this position

Postdoctoral opening in AI/ML recommendation systems for digital health and mental well-being decision-making at Toronto Metropolitan University, in collaboration with Oxford Saïd Business School and the Human-Algorithm Interaction (HAI) Lab.

The project focuses on building recommendation systems and studying how algorithms support decisions in health-related contexts. Relevant research interests include machine learning, human-algorithm interaction, digital health, mental well-being, information systems, data science, and management science.

Eligibility highlights: a PhD in Information Systems, Computer Science, Data Science, Management Science, or Health Informatics. Python is required; R, LLMs, and experimental research design are valued assets.

Funding: fully funded, 1-year appointment with renewal possible. The role is based in Toronto, Ontario, Canada and is scheduled to start November 1, 2026 or as soon as possible afterward.

Application timing: review begins September 30, 2026 and the position is open until filled.

Funding details

Fully funded postdoctoral position for 1 year, renewable. Starts November 1, 2026 or as soon as possible after.

What's required

PhD in Information Systems, Computer Science, Data Science, Management Science, or Health Informatics. Python is required. R, large language models, and experimental research design are assets.

How to apply

Review starts on September 30, 2026 and the position remains open until filled. Interested candidates should apply promptly through the posting or contact the project team if an application route is provided elsewhere.

More information can be found here

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