About the role#
We are looking for a researcher to join our Extreme Performance Intelligent Control team for a 12-week internship. You will work on combining machine learning with physical system knowledge to create reliable controllers for autonomous vehicles. Your work will focus on developing methods that enforce stability and constraint satisfaction while incorporating vehicle dynamics into learned controllers. You will collaborate with professional researchers to tackle novel questions and work toward a publication.
What you'll do#
- Develop and carry out a well-scoped research project in a relevant area.
- Extend existing AI, ML, or control algorithms or design new ones for vehicle performance limits.
- Explore ways to formalize safety guarantees for machine learning algorithms.
- Implement your algorithms on a full-scale vehicle research platform.
- Publish your original research at a high-impact conference.
What you'll need#
- Current enrollment in a Ph.D. or M.S. program in computer science, mechanical engineering, aerospace engineering, or a related field.
- Proficiency in scientific Python, Unix, and robotic frameworks like ROS2.0.
- Knowledge of machine learning, nonlinear system control, and optimal control.
- Experience working on joint scientific and engineering projects.
- Knowledge of vehicle dynamics or an interest in high-performance driving is a plus.
Location & details#
- Location: Los Altos, California.
- Term: Summer 2027.
- Work Modality: Hybrid and on-site.
- Compensation: This is a paid, full-time internship.
About Toyota Research Institute
Toyota Research Institute is a research organization founded in 2016. Based in Los Altos, California, it operates as a subsidiary of Toyota. The company focuses on artificial intelligence, robotics, automated driving, and material sciences. Its staff of approximately 485 employees works to develop technology for vehicles and robots while researching new materials for batteries and fuel cells.
How to get in at Toyota Research Institute
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