Publisher
source

University of North Carolina at Charlotte

PhD Opportunity in Railway Safety, AI, and GIS at UNC Charlotte University of North Carolina at Charlotte in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

United States

University

University of North Carolina at Charlotte

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Keywords

Computer Science
Psychology
Electrical Engineering
Transportation Engineering
Geography
Artificial Intelligence
Civil Engineering
Spatial Analysis
Human Factors Engineering
Digital Twin Technology
Monte Carlo Simulation
ML

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About this position

Ph.D. opportunity at the University of North Carolina at Charlotte for Spring 2027 in the Infrastructure and Environmental Systems (INES) Ph.D. program.

The project focuses on railway safety and railroad trespassing prevention, with research directions including AI and machine learning for trespassing risk assessment, mmWave radar sensing and edge AI for detecting and tracking people near railway infrastructure, digital twins and simulation for railway safety analysis, GIS and spatial analytics for identifying trespassing patterns and risk factors, and human factors/safety behavior.

Preferred preparation includes transportation engineering or civil engineering with a transportation focus. Applicants from related disciplines with relevant transportation research experience are also encouraged. Helpful skills include programming, data analysis, signal processing, GIS, and simulation.

The position is for full-time, on-campus doctoral study beginning in Spring 2027. Applicants must also apply to and be admitted into the INES Ph.D. program; the interest form is only a preliminary step and does not replace the formal graduate application.

To apply, complete the interest form and email your CV and unofficial transcript(s) as one PDF to [email protected] with the subject line “Spring 2027 Ph.D. Interest - Rail Safety.”

Funding details

Available

What's required

Preferred background in transportation engineering or civil engineering with a transportation focus. Applicants from related disciplines with relevant transportation research experience are also encouraged. Experience in programming, data analysis, signal processing, GIS, or simulation is desirable, but expertise in every topic is not required. Applicants must be able to begin full-time, on-campus doctoral study in Spring 2027. Selection will consider academic preparation, research fit, relevant experience, and readiness to begin in the intended semester.

How to apply

Complete the preliminary interest form and email your CV plus unofficial transcripts as one PDF to [email protected] with the specified subject line. You must also submit a formal application to the INES Ph.D. program and be admitted.

More information can be found here

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