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Pouya Zangeneh

Endowed Chair in Engineering Project Management

University of Calgary

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Canada

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Research Interests

Construction Management

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Mathematics

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Civil Engineering

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Engineering Management

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Job Scheduling

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Computer Science

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Positions1

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Pouya Zangeneh

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University of Calgary

MSc and PhD Positions in Generative AI for Construction Management, Project Scheduling, and Planning

MSc and PhD positions are open in Generative AI for Construction Management at the University of Calgary. The opportunity is connected to an emerging research program focused on project scheduling and construction planning , with an emphasis on applying generative AI to real-world engineering project management problems. The post is shared by Pouya Zangeneh , Endowed Chair in Engineering Project Management at the University of Calgary, and points to the EPM Research group. The research direction includes AI-based scheduling, construction planning, fine-tuning, domain adaptation, and domain knowledge enhancement for generative AI models. This makes the opening especially relevant for students interested in the intersection of Computer Science , Civil Engineering , Industrial Engineering , and applied quantitative methods. Eligibility highlights: candidates should have a strong academic background in engineering, applied mathematics, computer science, or a related field. Prior experience or strong interest in AI-based scheduling and construction planning is preferred. The post also notes that shortlisted candidates will go through at least two rounds of interviews with the team and research partners. How to apply: use the online form linked in the post and submit your resume/CV as instructed. The post does not mention a deadline, funding package, or tuition details, so applicants should check the form and research group page for any additional instructions. Research context: EPM Research at the University of Calgary appears to focus on engineering project management, risk analytics, and AI-enabled project decision-making. This opportunity is suitable for students aiming to work on generative AI methods applied to construction management, scheduling, and planning.