Postdoctoral Research Positions in Transportation Engineering, Traffic Safety, and AI at University of Connecticut

The University of Connecticut's Connecticut Transportation Institute (CTI) is seeking two full-time postdoctoral researchers to join its interdisciplinary team. The positions are focused on advancing research in transportation engineering, with one role emphasizing traffic safety and crash data analysis, and the other specializing in artificial intelligence (AI), data analytics, and intelligent transportation systems (ITS). Both positions are part of multiple funded projects supported by state and federal agencies, offering the opportunity to contribute to impactful research that enhances roadway safety, efficiency, and sustainability. The Traffic Safety postdoctoral position will involve traditional traffic safety research, crash data analysis, and roadway safety evaluation. The AI in Transportation & ITS postdoctoral position will focus on the application of AI, machine learning, and advanced data analytics to transportation systems, including the development and implementation of intelligent transportation solutions. Both roles require collaboration with a diverse research team and engagement with real-world transportation challenges. Applicants should hold a Ph.D. in civil engineering, transportation engineering, computer science, or a closely related field. Relevant experience in traffic safety, crash data analysis, AI, data analytics, or ITS is essential. The research group, led by Dr. Kai Wang, is recognized for its expertise in statistical modeling, big data technologies, and the integration of advanced analytical models to improve transportation safety and inform policy. The CTI at UConn is a leader in transportation research, with a strong record of securing significant research funding and publishing in top journals. These positions are grant-funded and offer the chance to work on projects sponsored by organizations such as the U.S. Department of Transportation, Federal Highway Administration, and state departments of transportation. The research environment is collaborative and innovative, with opportunities for professional development and research leadership. For more information, applicants are encouraged to review the full job descriptions provided in the linked PDFs. Application instructions are detailed in the job descriptions. Interested candidates should prepare their application materials as specified and submit them according to the guidelines. For further inquiries or to discuss research collaboration, contact Dr. Kai Wang at [email protected]. Keywords: Transportation Engineering, Traffic Safety, Artificial Intelligence, Intelligent Transportation Systems, Data Analytics, Crash Data Analysis, Roadway Safety Evaluation.