TRANSPORTATION INFORMATICS LAB
Old Dominion University

Graduate Research Assistant

 

We are constantly seeking highly motivated Ph.D. students to work with us. The admitted Ph.D. students should be able to conduct research independently as well as in an interdisciplinary team across multiple departments. The potential research topics include, but not limited to safety analytics using large-scale driving data, Bayesian spatiotemporal modeling, connected and autonomous vehicles for crash prevention, machine learning with applications in transportation, causal inference for evaluation of safety treatments, and data-centric emergency management. The admitted Ph.D. students are expected to take courses related to statistics, machine learning, high performance computing, optimization, programming, and visualization. 

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Desired qualifications

• A Bachelor’s or Master’s Degree in Transportation Engineering, Statistics, Machine Learning, Computer Science, Applied Mathematics, Physics, Operations Research, Psychology, Geographic Information Systems or a related field

• Skills in data processing and programming (e.g., Python, R, Matlab, C/C++, Java)

• Experience in academic writing

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Additional Information

• Ph.D. program in Civil & Environmental Engineering

• Graduate Admission

• ODU ranks No. 101-150 (No. 21 in US) in Transportation Science & Technology according to 2021 Global Ranking of Academic Subjects

• Old Dominion University earned the Research 1 Classification from the Carnegie Classification of Institutions of Higher Education, placing it among the highest level of research institutions (top 5%) in the United States.

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If you are interested, please email Dr. Xie with your CV for further details and discussion.