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Subasish Das

Just Landed

2 days ago

PhD Opportunity in Artificial Intelligence in Transportation and Transportation Safety at Texas State University Texas State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

One Ph.D. student will be recruited as a Doctoral Research Assistant (DRA), indicating funded research assistantship support. No stipend amount, tuition coverage, or other financial details are stated.

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Country

United States

University

Texas State University

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Keywords

Computer Science
Information Technology
Transport
Civil Engineering
Python Programming
Traffic Safety
Gpu Computing

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About this position

Ph.D. opportunity at Texas State University in the Artificial Intelligence in Transportation (AIT) Lab, led by Associate Professor Subasish Das. The opening is for one doctoral student starting Spring 2027 as a Doctoral Research Assistant (DRA).

The research focus combines civil engineering, transportation safety, transportation operations, and computer science-oriented agentic AI. Topics mentioned include crash and traffic data analysis, evaluating countermeasures, assessing roadway performance, tool calling, retrieval-augmented generation (RAG), multi-agent workflows, model evaluation, Python, GitHub project replication, AI-assisted coding, AWS, Colab, Docker, GPU computing, and building web tools and APIs.

Eligible applicants should hold a B.Sc. or M.S. in Civil Engineering, Computer Science, Computer Science and Engineering, or Computer Engineering. The post emphasizes strong writing, reproducible research, independent problem-solving, ownership, and the ability to develop and ship usable products.

Admissions requirements listed in the post include GRE, with preferred scores of Verbal ≥146 and Quantitative ≥160. English proficiency can be demonstrated by TOEFL iBT ≥78 (or ≥4 on the new scale), IELTS Academic ≥6.5 overall with ≥6.0 per section, or another TXST-approved English test.

To apply, email your CV, GitHub/portfolio, writing sample, and brief research interests to [email protected]. The post also links to the lab page and the Texas State University Civil Ph.D. page for more information.

Funding details

One Ph.D. student will be recruited as a Doctoral Research Assistant (DRA), indicating funded research assistantship support. No stipend amount, tuition coverage, or other financial details are stated.

What's required

Applicants must have a B.Sc. or M.S. in Civil Engineering, Computer Science, Computer Science and Engineering, or Computer Engineering. Desired experience includes transportation safety and operations, crash and traffic data analysis, evaluating countermeasures, roadway performance assessment, agentic AI, tool calling, retrieval-augmented generation (RAG), multi-agent workflows, model evaluation, Python, GitHub project replication, AI-assisted coding, AWS, Colab, Docker, GPU computing, web tools and APIs, reproducible research, and strong research writing. GRE is required, with preferred scores of Verbal ≥146 and Quantitative ≥160. English proficiency is required via TOEFL iBT ≥78 (or ≥4 on the new scale), IELTS Academic ≥6.5 overall with ≥6.0 per section, or another TXST-approved English test.

How to apply

Email your CV, GitHub or portfolio, writing sample, and brief research interests to [email protected]. Include one completed project and explain your contribution. Review the lab and TXST Civil Ph.D. links for additional context.

More information can be found here

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