Postdoctoral Research Associate in AI-Enabled Connected Vehicles and Smart Mobility Systems

Develop and evaluate AI-enabled connected vehicles and smart mobility systems. Research combines transportation data, digital twins, cooperative driving, infrastructure control, vehicle-in-the-loop testing and real-world demonstrations to improve energy efficiency and transport performance. Applications are made on the employer’s recruitment portal; no closing date is stated. Initial appointment up to 24 months, with extensions dependent on performance and funding.

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 at least one of the following areas: 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.

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.  Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment.  Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.