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Argonne National Laboratory Postdoctoral Appointee – Connected and Automated Driving in Lemont, Illinois

Argonne’s Vehicle and Mobility Systems department (VMS, vms.taps.anl.gov ) is seeking a post-doctoral candidate to conduct research on how to leverage connectivity and automation for increased energy-efficiency. The successful candidate will participate in the team’s research program, including:

  • Development of models of Connected and Automated Vehicle (CAV) systems, such as existing full CAVs, sensor, V2X models.

  • Research on control algorithms that use connectivity and automation for greater energy savings.

  • Implementation of controls in high-fidelity simulation tools.

  • Implementation of controls in experimental vehicles for dynamometer and on-road testing.

  • Conducting large-scale case studies related to CAVs.

  • Development of capabilities for simulation and hardware-in-the-loop tools used in the VMS team.

Position Requirements

  • PhD Degree in Mechanical/Electrical/Computer Engineering or Computer Science.

  • Experience in development and experimentation of automated driving controls for cars and trucks.

  • Experience with embedded software, robotic systems, or ECUs, including real-time software (e.g. ROS).

  • Experience with automated driving simulation software (e.g. CARLA, VTD, Carmaker) and traffic simulators (VISSIM, AIMSUM, SUMO).

  • Experience with optimal control, model-predictive control, optimization, Kalman filter.

  • Experience with AI techniques such as reinforcement learning.

  • Programming in C/C++, Python and Matlab/Simulink.

  • Software life-cycle (source control, documentation, deployment).

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

Job Family

Postdoctoral Family

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

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