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Up to 30% off — ends 2 Aug
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Haoran Li
1 month ago
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Fully Funded PhD in Civil & Environmental Engineering: AI, ML, LCA, Digital Twins, and Climate-Resilient Infrastructure at Lamar University Lamar University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Lamar University

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About this position
Dr. Haoran Li is recruiting a fully funded PhD student to join the Department of Civil & Environmental Engineering at Lamar University, with a start date of Fall 2026 or Spring 2027.
The position sits at the intersection of civil engineering, environmental engineering, artificial intelligence, machine learning, life cycle assessment, life cycle cost analysis, digital twins, and climate-resilient infrastructure. The research group works with state DOTs, FHWA, and industry partners on infrastructure problems at scale.
Research topics include AI- and data-driven infrastructure performance prediction, LCA/LCCA of transportation infrastructure, digital twin systems for infrastructure monitoring and management, climate-resilient design under extreme weather, physics-informed and ML-based surrogate modeling, and sustainable materials / low-carbon construction strategies.
Funding is explicitly stated as fully funded, including a tuition waiver, monthly stipend, and benefits.
Applicants should ideally have a background in civil/environmental engineering, computer science, mechanical engineering, or a related field. Strong academic performance, research motivation, English communication skills, and programming ability in Python, MATLAB, or R are preferred. Experience with machine learning tools, finite element analysis software, and academic publishing is also valued.
To apply, email Dr. Li with a CV, unofficial transcripts, and a brief statement of research experience and interest. Use the subject line [Doctoral Application] – Your Name.
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.
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