Postdoctoral Researcher in Connected and Automated Vehicle Systems

Provide support to the Advanced Mobility Technology Research Group within the Transportation and Power Systems Division in developing high fidelity on-road data collection hardware and administering associated experimental activities.

Assist in developing, directing, and administering experimental evaluations on advanced mobility technologies, with specific focus on data collection of on-road vehicle experiments exploring connected and automated vehicle technologies. These efforts will involve implementing unique hardware and software using open source and off-the shelf, solutions directly on advanced technology vehicles with coupled instrumentation systems. Strong knowledge in operation and limitations of hardware components (GPS, LIDAR, camera) and associated software for on road data collection will be leveraged to support activities in this position. The position will collaborate with various research groups within Argonne’s Transportation and Power Systems Division and across collaborating national laboratories to ensure development of comprehensive and broadly useful datasets. Efforts will focus on utilizing existing Argonne capabilities and developing new systems, enabling cutting- edge experimental activities in vehicle automation and connectivity.

• Research existing industry leading autonomous perception and automation hardware and CAVs test methodologies with particular emphasis on collecting datasets for use in digital twin generation of roadways.

• Develop and provide technical presentations at workshops and conferences. Develop and submit abstracts/papers for professional conferences and/or journals. Research new industry-leading engineering tools to ensure research activities remain industry-relevant. Adopt and refine the latest cutting-edge processes and tools. Continue to gain knowledge in the transportation field, particularly with advanced vehicle sensing and automation technologies. Maintain current knowledge of the automotive industry and its interaction with DOE and other government agencies.

Position Requirements

• PhD in mechanical engineering, with a background in computer science.

• Desire for continued learning in, and general interest of automotive technologies and their associated energy use.

• A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. 

Knowledge in:

• Vehicle automation, including perception system sensor technology such as radar, lidar, vision sensing and sensor data processing.

• On-road vehicle experimentation, ensuring selection of appropriate instrumentation and testing methodologies for safe testing to provide accurate and comprehensive experimental results on vehicle systems.

• Capture, processing, and storage of large datasets and analysis of vehicle systems from experimentation.

• Automated longitudinal and lateral ADAS features, including algorithm development and test methodologies for on-road vehicle data collection.

• Transportation technologies, energy use, and environmental impacts of transportation.

Skill in:

• ROS / Python / C++, vehicle networking tools such as Vehicle Spy.

• Oral and written communications.

• Time management, organization, and working on several projects simultaneously.

• Contribution to project/program completion, exercising significant impact on program results.

What will put you ahead:

• Experience directing or managing vehicle for on-road data collection and analysis activities.

• Direct experience with Autoware Foundation products, including Autoware.AI, Autoware.Auto, Autoware Core/Universe.

• Direct experience with simulation platforms such as CARLA.

• Experience with conversion of raw sensor data, typical to vehicle systems, into representative 3D digital twins.

Job Family

Postdoctoral Family

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

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