Description
The Artificial Intelligence in Transportation (AIT) Lab at Texas State University invites applications for one Ph.D. position as a Doctoral Research Assistant (DRA), kicking off in Spring 2027.
Target Audience
Prospective doctoral students holding a Bachelor of Science (B.Sc.) or Master of Science (M.S.) in Civil Engineering, Computer Science, Computer Science and Engineering, or Computer Engineering.
What You Will Do & Bring
- Transportation Focus: Analyze crash and traffic data, appraise safety countermeasures, and evaluate roadway performance.
- Agentic AI & ML: Implement tool calling, multi-agent frameworks, retrieval-augmented generation (RAG), and model evaluations.
- Software & Computing: Write Python code, replicate GitHub repositories, build/deploy web tools/APIs, and leverage AWS, Docker, Google Colab, and GPU compute.
- Research & Ownership: Drive reproducible research, draft technical reports/manuscripts, solve roadblocks proactively, and act on user feedback.
Admissions & Eligibility
- GRE: Required (preferred benchmarks: Verbal ≥146, Quantitative ≥160).
- English Proficiency: TOEFL iBT ≥94 (new scale) / ≥78 (previous scale), or IELTS Academic ≥6.5 overall (minimum 6.0 per section), or other university-approved alternatives.
Application Process
Submit your CV, GitHub/portfolio link, writing sample, and a concise statement of research interests directly to subasish@txstate.edu, ensuring you spotlight one finished project and your specific contribution.
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