Postdoctoral Researcher, Reinforcement Learning & Model Predictive Control in Autonomous Behavior
Toyota Research InstitutePosted April 16, 2025
Los Altos, California
Electric Vehicles$165,760 - $207,200
Internship
Job Description
The Postdoctoral Researcher will focus on advancing model predictive control and reinforcement learning for autonomous driving, utilizing machine learning and computer vision techniques to enhance vehicle safety and performance in dynamic scenarios. The role involves independent research, collaboration with a team, and the potential for strong peer-reviewed publications.
Responsibilities
- •Lead independent research efforts in model predictive control and reinforcement learning for autonomous driving.
- •Mentor and collaborate with less experienced students and researchers.
- •Formulate, implement, and evaluate new research ideas on vehicles.
- •Contribute to strong peer-reviewed publications.
- •Work collaboratively within a research team focused on robotics and machine learning.
Requirements
- •Ph.D. in a relevant field such as robotics, machine learning, or a related discipline.
- •Strong background in embodied machine learning.
- •Experience working with agile robots or other embodied systems such as autonomous vehicles or UAVs.
- •Demonstrated ability to lead independent research efforts.
- •Experience mentoring and collaborating with less experienced students and researchers.
- •Hands-on experience in formulating new research ideas, implementing and evaluating them on vehicles.
- •Ability to operate independently and work well as part of a larger integrated group.
- •Strong track record of producing peer-reviewed publications.
- •Current postdoc or graduating Ph.D. student looking for an additional year of research experience before beginning a faculty position.
Benefits
- •Compensation/salary range: $165,760 - $207,200 per year
- •401(k) eligibility
- •Paid time off benefits including vacation, sick time, and parental leave
- •Annual cash bonus structure
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