Publisher
source

University of Toronto

Just Landed

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 available
Country flag

Country

Canada

University

University of Toronto

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Environmental Science
Materials Science
Civil Engineering
Optimisation
Statistics
ML

Suggested positions

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

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?