Publisher
source

Yiheng Feng

Top university

10 months ago

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

Degree Level

Postdoc

Field of study

Computer Science

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.

Deadline

Expired

Country flag

Country

United States

University

Purdue University

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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

About this position

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 details

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

What's required

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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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Transportation Engineering

Automotive Engineering

Internet Of Vehicles

Driving Simulation

Vehicular Technology