Morgan State University 招收交通方向 博士后[马上入职] 和 博士生[Fall 2027入学]

Morgan State University 招收交通工程方向的博士生和博士后。博士后马上入职，博士生Fall 2027入学。

主要做 AI + Quantum Applications in Transportation方向。具体信息如下。

如感兴趣，请联系 di.yang@morgan.edu。谢谢！

Position Description
Applications are invited for a full PhD scholarship including full tuition remission and stipends for living expenses (>$44,000 per year) starting in Fall 2027 and one postdoctoral associate starting immediately. The admitted PhD student and postdoctoral associate will join Dr. Di Yang’s research group affiliated with the SMARTER Center in the Department of Transportation & Urban Infrastructure Studies at Morgan State University (MSU), Baltimore, USA. The admitted Ph.D. student and postdoctoral associate is expected to conduct research independently under the supervision of Dr. Yang.

The potential research topics include artificial intelligence (AI) applications in transportation, digital twins, quantum computing and quantum AI in smart mobility and safety, connected and autonomous vehicles, and human behaviors, among others. Applicants with strong AI and academic experience are encouraged to apply. A bachelor’s or master’s degree in civil/Transportation Engineering, Statistics/Data Science, Computer Science, Applied Mathematics, Electrical Engineering, Mechanical Engineering, Physics, or other relevant fields in engineering is preferred. If you are interested, please email Dr. Yang at di.yang@morgan.edu with your CV/resume and transcripts for further details and discussion. The application deadline for international students for Fall 2027 is April 1, 2027. For additional information, please visit theDoctor of Philosophy (PhD), Transportation and Urban Infrastructure Systems and School of Graduate Studies/Admissions.

About Dr. Di Yang
Dr. Di Yang is an Assistant Professor in the Department of Transportation & Urban Infrastructure Studies at Morgan State University. He received his B.Eng. in Traffic Engineering at Beijing Jiaotong University and Ph.D. in Transportation Planning and Engineering at New York University with minors in statistics and data science. His research focuses on developing novel data science and AI methods at the intersection of Intelligent Transportation Systems, connected and autonomous vehicles, traffic safety and resilience, human factors, and smart mobility. Dr. Yang has secured more than $3 million in external research funding from agencies including the National Science Foundation, the U.S. Department of Transportation (DOT), and the Maryland DOT, among others. Dr. Yang serves as an Associate Editor of the ASCE Journal of Urban Planning and Development, a Handling Editor for the journal Transportation Research Record, and on the Editorial Advisory Board of the journal Accident Analysis and Prevention (a top international journal in transportation safety). His research is mostly published in leading journals, such as Transportation Research Part A, C, and D, IEEE Transactions on Intelligent Transportation Systems, Accident Analysis and Prevention, safety science, and Proceedings of the ACM on Human-Computer Interaction. His research publications have garnered more than 1,300 citations, according to Google Scholar.