The Connected, Automated, and Resilient Transportation (CART) Lab at Purdue University, led by Assistant Professor Yiheng Feng, is seeking one or two postdoctoral researchers to join ongoing projects in smart transportation systems. The research areas include cooperative driving automation, such as cooperative perception and multi-agent systems, V2X (vehicle-to-everything) applications development and deployment, and smart, integrated work zones. The CART Lab is equipped with state-of-the-art facilities for CAV (connected and automated vehicle) research, including autonomous vehicle testing platforms, high-fidelity simulation, and advanced computing resources. Applicants should hold a Ph.D. in engineering or related fields, specifically Civil/Transportation Engineering, Industrial Engineering, Electrical Engineering, or Computer Science and Engineering. Strong programming and mathematical skills are required, along with experience in developing large-scale projects. The lab is particularly interested in candidates with expertise in machine learning, computer vision, multi-sensor fusion, simulation, and hands-on field deployment of V2X applications and standards. Prof. Yiheng Feng is an assistant professor at Purdue's Lyles School of Civil and Construction Engineering and assistant director of the Center for Road Safety. His research focuses on smart transportation systems, cybersecurity, and CAV infrastructure, with publications in top journals and conferences. The CART Lab offers a collaborative environment for cutting-edge research in transportation automation and infrastructure. To apply, candidates should send a statement of research and CV directly to Prof. Feng at [email protected]. More information about the lab and its research can be found at the CART Lab website. Applications are open until the positions are filled.

The Connected, Automated, and Resilient Transportation (CART) lab in the Lyles School of Civil and Construction Engineering at Purdue University is seeking one or two postdoctoral researchers in the area of Smart Transportation Systems. This well-funded opportunity provides hands-on and theoretical research experience related to connected and automated vehicles (CAV) and smart transportation infrastructure. The CART lab, led by Assistant Professor Yiheng Feng, focuses on developing new methodologies and applications in CAV, smart transportation infrastructure, smart mobility, cybersecurity, and artificial intelligence in transportation systems. The lab features state-of-the-art equipment for CAV-related research, including an autonomous vehicle testing platform, high-fidelity HIL simulation, and high-end computing servers. Postdocs will work on projects related to cooperative driving automation (e.g., cooperative perception and multi-agent systems), V2X applications development and deployment, and smart and integrated work zones. Applicants should have a Ph.D. in Civil/Transportation Engineering, Industrial Engineering, Electrical Engineering, Computer Science, or related fields, with strong programming and mathematical skills and experience in large-scale projects. Candidates with expertise in machine learning, computer vision, multi-sensor fusion, simulation, and field deployment of V2X applications are especially encouraged to apply. Prof. Yiheng Feng is an assistant professor and assistant director of the Center for Road Safety at Purdue University. His research focuses on smart transportation systems, CAV, and smart infrastructure, with publications in top journals and conferences. The CART lab offers a collaborative environment and access to advanced research facilities. For more information, visit the CART Lab website. To apply, send your statement of research and CV to Prof. Feng at [email protected]. This position is open until filled.