Postdoc: AI for Connected Mobility & Smart Infrastructure

Oak Ridge National Laboratory; Knoxville (TN); On-site; USD 65,000 - 90,000; Full time

Job summary

Oak Ridge National Laboratory invites applications for a Postdoctoral Research Associate in AI-enabled connected vehicles and smart mobility systems. The role focuses on AI-driven mobility, digital twins, and intelligent transportation systems.

The position involves multimodal data, high-fidelity simulation, and vehicle-in-the-loop testing, with field demonstrations across disciplines to create scalable mobility solutions.

Qualifications

• PhD in civil, mechanical, computer science, electrical engineering, or related field.
• Research experience in vehicle dynamics, connected/automated vehicles, or AI for transportation.
• Proficiency in Python; experience with C++, MATLAB/Simulink or similar.
• Experience developing computational models and evaluating with data or simulations.
• Strong communication and collaborative research abilities.

Responsibilities

• Develop AI-ready datasets, digital twins, and predictive models using multimodal transportation data.
• Create AI-based control/optimization methods for connected vehicles and smart infra.
• Integrate research algorithms with simulation platforms, vehicle hardware, and traffic systems.
• Plan and conduct testing via simulation, HIL/VIL, dynamometer, and field experiments.
• Collaborate with public agencies, operators, labs, universities, and industry partners.
• Publish findings and deliver reusable research software and deployment guidance.

Skills

Python

C++

Data analysis

Education

PhD in a related field

Postdoc/research experience

Tools

MATLAB

Simulink

SUMO

CARLA

PyTorch

VISSIM

Aimsun

Job description

Oak Ridge National Laboratory invites applications for a Postdoctoral Research Associate in AI-enabled connected vehicles and smart mobility systems. The role focuses on AI-driven mobility, digital twins, and intelligent transportation systems.

The position involves multimodal data, high-fidelity simulation, and vehicle-in-the-loop testing, with field demonstrations across disciplines to create scalable mobility solutions.