R&D Associate Staff Applied Research for Mobility Systems
Oak Ridge National Laboratory (ORNL) is a U.S. Department of Energy national laboratory conducting multidisciplinary research in computing, AI, energy, materials, nuclear science, neutron science, isotopes, and national security.
Funding history
Investors
About Oak Ridge National Laboratory
ORNL is a government-owned, contractor-operated U.S. Department of Energy research laboratory in Oak Ridge, Tennessee. UT-Battelle operates ORNL for DOE; the laboratory currently provides AI and high-performance-computing capabilities alongside science and engineering research infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop testing, simulation, and data-driven methods for assessing emerging vehicle technologies. You will design vehicle-in-the-loop and hardware-in-the-loop experiments, integrate vehicles and sensor systems, develop controls and simulations, apply AI to safety scenarios, and document and communicate research results.
Requirements
- Ph.D. in Mechanical Engineering, Automotive Engineering, Electrical Engineering, Computer Engineering, Robotics, or a related field
- At least one year of relevant research or professional experience in vehicle systems, connected and automated vehicles, ADAS, controls, robotics, or transportation systems
- Experience with vehicle-in-the-loop, hardware-in-the-loop, software-in-the-loop, or real-time simulation and testing environments
- Experience with vehicle dynamics, feedback control, vehicle communication interfaces, or drive-by-wire systems
- Proficiency in Python and MATLAB/Simulink
- Experience with artificial intelligence or data-driven methods
- Ability to develop and integrate experimental hardware and software systems
- Record of technical publications, presentations, or sponsor-facing research reports
- Written and verbal communication skills
Responsibilities
- Develop standardized testing and evaluation methods for connected and automated vehicle and ADAS technologies
- Design and conduct vehicle-in-the-loop and hardware-in-the-loop experiments
- Develop closed-loop control, synchronization, and validation methods
- Apply artificial intelligence and machine learning to trajectories, perception errors, and safety-critical scenarios
- Develop simulation, automation, and data-analysis tools using Python, MATLAB/Simulink, C/C++, dSPACE, CARLA, and SUMO
- Lead experimental planning, system integration, and coordination with external partners
- Prepare research documentation, sponsor deliverables, reports, publications, presentations, and proposals
- Mentor students and junior researchers
Benefits
- Medical plans
- Retirement plans
- Flexible work hours
- On-site fitness facilities
- On-site banking facilities
- On-site cafeteria facilities
- Prescription drug plan
- Dental plan
- Vision plan
- 401(k) retirement plan
- Contributory pension plan
- Life insurance
- Disability benefits
- Vacation and holidays
- Parental leave
- Legal insurance with identity theft protection
- Employee assistance plan
- Flexible spending accounts
- Health savings accounts
- Wellness programs
- Educational assistance
- Relocation assistance
- Employee discounts