The Artificial Intelligence in Transportation (AIT) Lab at Texas State University is offering Graduate Research Assistantship (GRA) opportunities for two motivated M.S. students in Civil Engineering. The positions focus on safety-critical transportation research, leveraging advanced artificial intelligence and deep learning techniques. 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 a core aspect of the research environment.

Applicants should have a strong foundation in transportation engineering and artificial intelligence, with proficiency in Python for deep learning, experience handling large datasets (using SQL, Pandas, NumPy), and familiarity with spatial AI. The GRE is a mandatory component of the application package. Preferred candidates will have prior research or AI experience in computer science, statistics, transportation, or related fields, and can demonstrate strong analytics through 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 are expected to tackle substantial, open-ended problems, conduct detailed research, develop and implement solutions, and communicate their findings effectively.

Funding is provided through Graduate Research Assistantships, supporting students as they contribute to ongoing AIT Lab projects. Specific details regarding stipend amounts or tuition coverage are not mentioned. Interested applicants should review the AIT Lab projects and apply via the official application site, ensuring all required materials, including GRE scores, are submitted. For more information, visit the provided links to the lab and program details.