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Postdoc in AI for Low-Carbon Concrete Mixture Design and Optimization University of Toronto in Canada
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
Canada
University
University of Toronto

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About this position
Postdoctoral opening in AI for low-carbon concrete at the University of Toronto in collaboration with the NRC. The project focuses on AI/ML for design and optimization of concrete mixtures, with emphasis on physics-informed machine learning, Bayesian methods, generative AI, and explainable AI (XAI).
Ideal applicants should have a PhD in Civil Engineering, Materials Science, or a data-related field, plus hands-on experience with Python, concrete materials, and AI/ML workflows. The post is framed as a research-focused postdoc rather than a scholarship.
To apply, email [email protected] with a CV, research statement, availability, and 3 references. Use the subject line “UofT-NRC AI Postdoc 2026”.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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