The Artificial Intelligence in Transportation (AIT) Lab at Texas State University is offering Graduate Research Assistant (GRA) opportunities for motivated M.S. students in Civil Engineering. The positions focus on transportation engineering and artificial intelligence, supporting safety-critical transportation research. Students will work on developing and benchmarking models for crash severity, driver behavior, and infrastructure risk, and will implement explainable and trustworthy AI methods such as counterfactuals, causal inference, and mechanistic AI. Collaboration with interdisciplinary teams across engineering, AI, and policy is expected.

Applicants should have a strong foundation in transportation engineering and artificial intelligence, with proficiency in Python for deep learning and experience handling large datasets using SQL, Pandas, and NumPy. The GRE is a mandatory requirement for the application package. Preferred qualifications include prior AI or research experience in computer science, statistics, transportation, or related fields, and evidence of strong analytics such as publications, preprints, competitions, or open source contributions.

The M.S. in Civil Engineering at Texas State University emphasizes practical, industry-driven projects or theses related to real-world engineering applications, often in partnership with local industries. Students will confront substantial, open-ended problems, perform detailed research, develop and implement solutions, and communicate their findings professionally.

Funding is provided through GRA positions, though specific details regarding stipend or tuition coverage are not mentioned. Interested candidates should review the AIT Lab projects and apply via the official application site, ensuring that GRE scores are included in their application package. For more information, candidates may contact Professor Subasish Das or visit the provided links.