Publisher
source

Louisiana State University

Fully Funded PhD in Construction Management and Infrastructure Resilience at Louisiana State University Louisiana State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position.

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Country

United States

University

Louisiana State University

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Keywords

Computer Science
Environmental Science
Deep Learning
Remote Sensing
Artificial Intelligence
Civil Engineering
Computer Vision
Earth Science
Construction Management
Statistics
Infrastructure Resilience
Natural Hazard
Geospatial Information

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About this position

Louisiana State University is recruiting a fully funded PhD student for the Future Infrastructure Resilient Systems (FIRST) Lab in Construction Management.

The position focuses on research at the intersection of artificial intelligence, computer vision, deep learning, remote sensing, UAVs, geospatial data, graph-based learning, and probabilistic risk assessment. The advertised application areas include natural-hazard and flood-damage assessment and infrastructure resilience, with an emphasis on climate-change-resilient systems.

Degree level: PhD
Funding: Fully funded
Location: Baton Rouge, Louisiana, USA
Start: Spring, Summer, or Fall 2027

Application materials: CV and a cover letter explaining your research interests and background.

This opportunity is a strong fit for students with interests in civil/construction engineering, AI for infrastructure, hazard assessment, and data-driven resilience research. The post does not mention a deadline, tuition details, or specific eligibility thresholds.

Apply via the application portal linked in the post and review the FIRST Lab page for more information about the research group.

Funding details

Fully funded PhD position.

What's required

Applicants should submit a CV and a cover letter explaining their research interests and background. The post does not specify GPA, test scores, prior degree requirements, or language requirements.

How to apply

Prepare a CV and a cover letter describing your research interests and background, then submit the application through the portal linked in the post. Review the FIRST Lab link for additional context before applying.

More information can be found here

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