Human Interactive Driving Research Intern - Learning-Based Control for Safe Autonomous Driving
About The Position
Toyota Research Institute is seeking an intern for its Extreme Performance Intelligent Control team to conduct research combining machine learning, physical-system knowledge, and control theory to develop reliable controllers for autonomous vehicles. The work may include learning-based control methods that enforce forward invariance, stability, and constraint satisfaction, as well as incorporating vehicle dynamics and other physical knowledge into learning and control for challenging driving scenarios. The intern will work with professional researchers on a scoped research project, develop approaches for safe, intuitive, and responsive driving systems, implement algorithms on a full-scale vehicle research platform, and work toward publishing original research at a high-impact conference. The role is a paid, 12-week, hybrid internship based at TRI headquarters in Los Altos, California.
Requirements
- Be an M.S. or Ph.D. student in a relevant field, such as machine learning/AI, robotics, computer science, mechanical engineering, aerospace engineering, or a similar field.
- Be proficient in scientific Python, Unix, and robotic frameworks such as ROS 2.0.
- Have knowledge of machine learning, nonlinear system control, and optimal control.
- Have experience working on joint scientific and engineering projects.
- Have good collaboration skills.
- Include links to relevant open-source contributions or technical project write-ups with the application.
Nice To Haves
- Knowledge of vehicle dynamics.
- Familiarity with or interest in racing or high-performance driving.
- Relevant publications in the fields described.
Responsibilities
- Work with researchers to develop and undertake a well-scoped research project in a relevant area.
- Extend existing controls, AI, or machine-learning algorithms, or design new algorithms for control at a vehicle’s performance limit.
- Explore approaches to formalize safety guarantees for machine-learning algorithms.
- Implement algorithms on a full-scale vehicle research platform.
- Publish original research at a high-impact conference.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Paid time off, including holiday pay and sick time
- Competitive compensation
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What This Job Offers
Career Level
Intern
