Publisher
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Yiheng Feng

Top university

10 months ago

Postdoc Position in Smart Transportation Systems, Machine Learning, and CAV at Purdue University Purdue University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is well funded, but specific details about the funding amount, stipend, or tuition coverage are not provided.

Deadline

Expired

Country flag

Country

United States

University

Purdue University

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2 days ago

Keywords

Computer Science
Machine Learning
Electrical Engineering
Cybersecurity
Civil Engineering
Industrial Engineering
Computer Vision
Computational Simulation
Multi-sensor Fusion
Smart Transportation
Connected And Autonomous Vehicles

About this position

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.

Funding details

The position is well funded, but specific details about the funding amount, stipend, or tuition coverage are not provided.

What's required

Applicants must have a Ph.D. degree in engineering or related fields such as Civil/Transportation Engineering, Industrial Engineering, Electrical Engineering, or Computer Science and Engineering. Candidates should have strong programming and mathematical skills with experience in developing large-scale projects. Preference will be given to candidates with deep knowledge and hands-on experience in one or more of the following areas: 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