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Concordia University

PhD Opportunities in Scan-to-BIM, Digital Twins, and Climate-Resilient Infrastructure at Concordia University Concordia University in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Country flag

Country

Canada

University

Concordia University

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Hydrology
Artificial Intelligence
Civil Engineering
Sensor Technology
Uncertainty Analysis
Digital Twin Technology
Statistics
Infrastructure Resilience

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About this position

Concordia University in Canada is seeking two highly motivated PhD students to advance research on Scan-to-BIM-to-Digital Twin and uncertainty-aware methods for climate-resilient infrastructure systems.

Under the supervision of Dr. Chih-Shen (Stephen) Cheng, students will work at the intersection of sensing, artificial intelligence, flood modeling, and uncertainty quantification. The research will support the assessment of flood impacts on buildings and power infrastructure and help facilitate informed decisions for resilient infrastructure planning and management.

The opportunity is intended for students interested in civil and infrastructure engineering, digital twins, artificial intelligence, environmental hazards, and quantitative approaches to uncertainty and resilience. The positions are expected to begin in Summer or Fall 2027.

Funding details

Available

What's required

Applicants should be highly motivated prospective PhD students interested in Scan-to-BIM-to-Digital Twin, uncertainty-aware methods, sensing, artificial intelligence, flood modeling, and infrastructure resilience. No specific degree, GPA, language-test, or other admission requirements are stated.

How to apply

Interested applicants should reach out regarding the two PhD opportunities with a start in Summer or Fall 2027. The post does not specify a contact email or application portal.

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