Applying AI to Enhance Transportation Operations - Federal Highway Administration
Postdoctoral fellowship at FHWA to research and develop advanced AI and ML methods for improving transportation safety, traffic management, and cooperative driving automation.
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NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: August 1, 2025 | November 1, 2025 | February 1, 2026 | May 1, 2026
Funding Amounts: $80,000 base stipend + $4,000 travel; higher stipends for experience; benefits and relocation available; 1-year appointment, renewable up to 3 years
Summary: Postdoctoral fellowship to advance AI and ML for real-time, data-driven improvements in transportation safety, traffic management, and cooperative driving automation at the Federal Highway Administration.
Key Information: Onsite research at Turner-Fairbank Highway Research Center (McLean, VA); open to U.S. and non-U.S. citizens.
Description
This research associateship supports a postdoctoral researcher to develop and apply advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques for transportation safety and operations. The position focuses on leveraging recent advancements in communications, connected vehicle technologies, edge computing, and data analytics to enable real-time, data-driven decision-making for traffic management and control. Priority research areas include:
- AI-powered methods for network-wide traffic data acquisition
- Enhanced traffic pattern prediction and adaptive operations
- Development of transportation-specific AI models
- AI-enhanced Cooperative Driving Automation algorithms
The associate will work onsite at the Turner-Fairbank Highway Research Center (TFHRC) in McLean, VA, collaborating with federal and contractor staff. The program aims to address current gaps in integrating AI/ML with transportation domain knowledge and to develop scalable, adaptive solutions for traffic management.
