Focusing on the development and validation of traffic digital twin models, the full-time Postdoctoral Researcher in Transportation will conduct independent research and collaborate with scientists to optimize vehicle and traffic control strategies while building scalable computing workflows for connected and automated vehicle operations.
Key responsibilities:
Develop, calibrate, and validate traffic digital twin and co-simulation models
Design and evaluate vehicle and traffic signal control strategies using optimization or machine learning
Build and optimize scalable HPC workflows for large-scale simulation and scenario studies
Required qualifications:
Ph.D. in a relevant engineering, computing, or mathematical discipline
Research experience in transportation modeling, large-scale simulation, or scientific computing
Proficiency in Python, C/C++, or MATLAB for modeling and data analysis
Ability to conduct independent research and collaborate in interdisciplinary teams
Recent PhD graduate within the last three years