Postdoctoral Researcher Reinforcement Learning Model Predictive Control in Autonomous Behavior
Postdoctoral Researcher Reinforcement Learning Model Predictive Control in Autonomous Behavior
Posted on :
20-04-2025
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1 Vacancy
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Yearly Salary
$ 165760 - 207200
Vacancy
1 Vacancy
Posted on :
20-04-2025
Job Description
At Toyota Research Institute (TRI) were on a mission to improve the quality of human life. Were developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility weve built a worldclass team in Human Interactive Driving HumanCentered AI Energy and Materials Large Behavior Models and Robotics.
The Team
Within the Extreme Performance Intelligent Control department of the Human Interactive Driving division we are developing techniques to advance vehicle safety and performance capabilities using tools from machine learning computer vision and optimal control. We are pursuing a cooperative approach to highperformance driving by developing predictive models and control frameworks for extreme vehicle maneuvering that match or exceed the skills of expert drivers. We envision a world where these tools allow each vehicle to support its driver creating a safe and enjoyable experience for all.
The Opportunity
We are looking for a datadriven robotics or driving researcher with a strong background in embodied machine learning and a make it happen mentality who is interested in spending a year working in our research team as a postdoc to drive the stateoftheart in model predictive control and reinforcement learning for autonomous driving in highly dynamic scenarios. The ideal candidate is able to operate independently when needed but works well as part of a larger integrated group at the groundbreaking edge of robotics and machine learning. Candidates with experience working with agile robots or other embodied systems (such as autonomous vehicles or UAVs) and dealing with realworld sources of uncertainty are strongly preferred.
The Role
An ideal candidate would have a strong track record of leading independent research efforts preferably including mentoring and collaborating with less experienced students and researchers. A current postdoc or graduating Ph.D student looking for an additional year of research experience before beginning a faculty position would be a great fit for this role. This position requires a handson researcher who has curiosity about formulating new research ideas implementing and evaluating them on vehicles and working in a highly collaborative environment. We expect this position to result in strong peerreviewed publications ultimately leading to a potential longerterm collaboration with TRI.
Responsibilities
- Conduct ambitious research to advance the stateoftheart in decisionmaking and control for autonomous systems operating at their performance limits in the face of environmental perceptual and system uncertainty
- Work with highperformance machine learning pipelines and deploy models and algorithms to hardware for closedloop evaluation with scalability efficiency and performance in mind
- With your teammates test your methods on our highperformance autonomous vehicles at proving grounds race tracks and other test facilities
- Collaborate with a multidisciplinary team at TRI and our university partners
- Be a key member of the team and play a critical role in rapid progress measured by both the development of internal capabilities and highimpact external publications
Qualifications
- Ph.D. or equivalent experience in a relevant technical field (e.g. computer science robotics mechanical engineering aerospace engineering)
- Consistent track record of publishing relevant research (RL MPC IL or their combination) at highimpact conferences and journals (CoRL RSS ICRA RLC ICLR ICML NeurIPS etc.
- Experience deploying models on embodied systems
- Extensive practical experience with a major machine learning framework such as PyTorch or TensorFlow
- Familiarity with data pipelines model serving and optimization cloud training and dataset management is also useful
- Ability to independently formulate and implement a research agenda while collaborating with other researchers and engineers across a spectrum of disciplines
- Sufficient softwareengineering proficiency to implement and evaluate research ideas particularly strong proficiency in Python
- Experience with highfidelity vehicle dynamics and sensor simulation is a major plus
- An ability to adapt quickly and switch between modes of rapid prototyping and robust implementation as required
Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.
The pay range for this position at commencement of employment is expected to be between$165760 and $207200/year for Californiabased roles; however base pay offered may vary depending on multiple individualized factors including market location jobrelated knowledge skills and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits such as vacation sick time and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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Employment Type
Full-Time
Key Skills
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