Postdoctoral Researcher, AI-Driven Mobility Systems

UT-Battelle

Knoxville (TN)

On-site

USD 65,000 - 90,000

Full time

34 hours ago

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Job summary

Oak Ridge National Laboratory (ORNL) seeks highly motivated Postdoctoral Research Associates to conduct cutting-edge research in transportation AI, digital twins, and intelligent transportation systems. Work with multidisciplinary teams to develop data-driven mobility solutions using large-scale data, high-fidelity simulation, and field deployments.

Positions advance AI-enabled mobility systems connecting vehicle automation with corridor- and regional- transportation operations.

Qualifications

Ph.D. in civil engineering, mechanical engineering, computer science, electrical engineering, industrial and systems engineering, operations research, robotics, data science, or a closely related field.
Demonstrated research experience in vehicle dynamics simulation, modeling and control of connected and automated vehicles, AI or machine learning for transportation, traffic modeling, control, routing, or optimization, transportation digital twins and simulation, vehicle energy modeling, heavy-duty vehicle operations, intelligent transportation systems.
Proficiency in Python and experience with at least one additional programming, modeling, or data-analysis environment such as C++, MATLAB or Simulink.
Experience developing computational models or data-driven methods and evaluating them using simulation, experimental, or real-world data.
Strong analytical and problem-solving skills and the ability to work both independently and collaboratively in a multidisciplinary research environment.
Excellent written and verbal communication skills, demonstrated through scholarly publications, technical reports, presentations, or comparable research products.

Responsibilities

Develop AI-ready datasets, digital twins, predictive models, and representative scenarios using multimodal transportation, vehicle, infrastructure, fleet, and energy data.
Develop AI-based control and optimization methods for connected vehicles and smart infrastructure, including eco-driving, cooperative driving automation, signal control and priority, routing, and resilient transportation operations.
Integrate research algorithms with vehicle and energy models, simulation platforms, vehicle hardware, connected infrastructure, and traffic control systems.
Plan and conduct testing and evaluation through simulation, software-and-hardware-in-the-loop, vehicle-in-the-loop, dynamometer, and on-road field experiments.
Deploy and demonstrate research technologies in real-world environments in collaboration with public agencies, transportation operators, national laboratories, universities, and industry partners.
Evaluate impacts on energy efficiency, mobility, reliability, and resilience at the vehicle, corridor, and network levels.
Produce reusable research software, datasets, models, evaluation tools, and deployment guidance; publish findings and present research at technical conferences.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace in how we treat one another, work together, and measure success.