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Research Scientist - Shared Control
Company | Toyota Research Institute |
Address | Los Altos, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Research Services |
Expires | 2023-09-04 |
Posted at | 9 months ago |
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Human-Centered AI, Human Interactive Driving, Energy and Materials, Machine Learning, and Robotics.
- Bring advanced mobility technology to market faster.
- Discover new materials that will make drive batteries and hydrogen fuel cells smaller, lighter, less expensive, and more powerful.
- Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.
- Develop vehicles incapable of causing a crash, regardless of the actions of the driver.
- Present results in verbal and written communications, internally, at top international venues, and via open source contributions to the community.
- Implement code and test in simulation and on vehicles.
- Push the boundaries of knowledge and the state of the art in Shared Control for driving.
- Conduct ambitious research that solves open problems of high practical value and validate it in real-world systems.
- Partner with a multidisciplinary team including other research scientists and engineers across the Human Interactive Driving team, TRI, Toyota, and our university partners .
- You are a reliable team-player. You care about openness and delivering with integrity.
- Proficient at scientific Python, Unix, and a common DL framework (preferably PyTorch). Experience with distributed learning (especially on AWS) is a plus.
- Experience with vehicle dynamics / autonomous vehicle control / driver modeling/ testing on real hardware is a major plus.
- Bachelor’s or Master’s degree in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, Chemistry). Ph.D. or deep expertise in one key area (Reinforcement Learning/Data Driven Control, Human Behavioral Modeling, or Shared Control) or related field.
- Consistent track record of publishing at high-impact conferences/journals (ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, IROS, CDC, ACC, IFAC, AVEC etc.).
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