Publisher
source

Abdelatif Merabtine

4 days ago

PhD Opportunities in AI for Built Environment and Urban Climate École de technologie supérieure in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Canada

University

École de technologie supérieure

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Where to contact

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Keywords

Computer Science
Data Science
Environmental Science
Mathematics
Artificial Intelligence
Civil Engineering
Built Environment
Sensitivity Analysis
Multi-objective Optimization
Urban Climate
Machine learning

About this position

École de technologie supérieure (ÉTS), Montreal, Canada is advertising 2 PhD positions in AI for Built Environment and Urban Climate.

The research topics include AI-based modeling, machine learning, sensitivity analysis, meta-modeling, and multi-objective optimization, with applications in building performance simulation, heat-risk exposure assessment, and urban heat island analysis.

Recommended preparation includes a background in Data Science, Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Interested candidates should email their CV, cover letter, and transcripts to [email protected].

Announcer/supervisor: Abdelatif Merabtine, Professor at ÉTS, Canada. No deadline or funding details were specified in the post.

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.

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