Publisher
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Yiheng Feng

Top university

3 days ago

Postdoctoral Position in Cooperative Driving Automation, V2X, and Smart Work Zones at Purdue University Purdue University in United States

I am hiring postdocs in cooperative driving automation, V2X, and smart transportation systems at Purdue University.

Purdue University

United States

Date not provided

Keywords

Computer Science
Electrical Engineering
Civil Engineering
Industrial Engineering
Computer Vision
Computational Simulation
Multi-sensor Fusion
Multi-agent System
Machinelearning
Smart Transportation
Connected And Autonomous Vehicles

Description

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.

Funding

No explicit funding details provided. The position is a postdoctoral research opportunity, typically fully funded, but stipend amount and tuition coverage are not mentioned.

How to apply

Send your statement of research and CV to Prof. Yiheng Feng at [email protected]. Review the CART Lab website for more information. Applications are accepted until the positions are filled.

Requirements

Prospective candidates should have a Ph.D. degree in engineering or related fields, such as Civil/Transportation Engineering, Industrial Engineering, Electrical, and Computer Science and Engineering. Candidates should have strong programming and mathematical skills with experience in developing large-scale projects. Preference is given to candidates with deep knowledge and hands-on experience in machine learning, computer vision, multi-sensor fusion, simulation, and field deployment experience of V2X applications and related standards.

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