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Yiheng Feng

Top university

6 days ago

PhD Positions in Smart Mobility, Cooperative Driving Automation, and Resilient Transportation Purdue University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

United States

University

Purdue University

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Keywords

Computer Science
Electrical Engineering
Civil Engineering
Industrial Engineering
Emergency Response
Robotics
Connected Vehicle
Multi-agent System

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About this position

The Connected Automated and Resilient Transportation (CART) Lab in the Lyles School of Civil and Construction Engineering at Purdue University is recruiting PhD students for entry in Fall 2027.

The lab investigates smart and connected mobility, including connected and autonomous vehicles, smart infrastructure, and multi-agent systems. Students may work on technologies that enable vehicles and infrastructure to exchange information and coordinate decisions in complex transportation environments.

Research opportunities also include cooperative driving automation, with a focus on vehicle-infrastructure-air cooperative perception, planning, and control. These projects address how distributed sensing and automated systems can jointly understand transportation conditions and safely coordinate vehicle movements.

A further research area is resilient and secure transportation. Potential topics include transportation cybersecurity, emergency response, and human-in-the-loop decision making, combining intelligent transportation systems with security, resilience, and human factors.

The lab is part of Purdue University's civil and construction engineering community and brings together transportation engineering, autonomy, artificial intelligence, machine learning, control, and cybersecurity perspectives.

Funding details

Available

What's required

Applicants should hold a bachelor's or master's degree in engineering or a related field, including civil or transportation engineering, industrial engineering, electrical engineering, computer engineering, or computer science. Candidates with publications in top transportation journals and/or computer science or machine learning conferences are preferred.

How to apply

Prepare a CV, transcript, and research-interest statement, then submit them to the email address provided in the flyer. The post does not include the email address or flyer link.

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Professors

Associate Professor

University Name
Country flag

United States

Research Interests

Transportation Engineering

Automotive Engineering

Internet Of Vehicles

Driving Simulation

Traffic Flow Theory