Heung Jin Oh
Top university
4 days ago
PhD Openings in Construction Workforce Analytics, AI-Driven Built Environments, and Intelligent Construction Systems at Purdue University Purdue University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Country
United States
University
Purdue University

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About this position
Purdue University is advertising PhD student openings for Spring 2027 or Fall 2027 in the Ph.D. in Technology program at the Purdue Polytechnic Institute, within the Bowen School of Construction.
The openings are associated with Wii Lab (Heung Jin Oh) and S2-HUB (Soowon Chang), and focus on research in construction workforce analytics, AI-driven built environments, and intelligent construction systems.
Research directions include: (1) construction workforce, labor demand, and learning analytics using large-scale job posting data, with methods such as statistics, machine learning, NLP, and LLMs; (2) AI-driven modeling and simulation for intelligent built environments, including AI, digital twins, BIM/VDC, simulation, sustainable infrastructure, and data-driven decision making; and (3) intelligent construction systems, BIM, safety, sensing, computer vision, spatiotemporal modeling, multimodal data, and human-centered field intelligence.
Applicants from construction management, civil engineering, architectural engineering, industrial engineering, mechanical engineering, information technology, or related fields are welcome. The post emphasizes strong quantitative and computational skills, and encourages prior experience with programming, statistical methods, simulation, machine learning, and related data-driven research methods.
To apply, email [email protected] with only a CV and the completed contact form. The post asks applicants not to send additional materials at this stage. Strong candidates will be contacted for a follow-up meeting.
No funding details or deadline date are specified in the post. The opportunity appears to be a research-focused PhD recruitment at Purdue University in the United States.
Funding details
Available
What's required
Applicants should have a background in construction management, civil engineering, architectural engineering, industrial engineering, mechanical engineering, information technology, or a related field. Strong quantitative and computational research skills are highly valued. Prior experience with programming, statistical methods, simulation, machine learning, and/or related data-driven research methods is strongly encouraged.
How to apply
Email Heung Jin Oh with a CV and the completed contact form only. Do not send additional materials at this stage. Strong candidates will be contacted for a follow-up meeting.
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