At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life by developing new tools and capabilities to amplify the human experience, specifically in the area of Automated Driving and Human Interactive Driving.
Requirements
- Experience in generative AI, whether LLMs with non-language tokens or diffusion models.
- Game development experience: Unreal, Unity, Godot, etc. and/or simulation development experience: CARLA, Sumo, Gazebo, AirSim, etc.
- Strong software engineering skills (C++/Python preferred) and analysis/debugging robotic systems.
- Experience working in a shared codebase with multiple collaborators and reviewing others’ code.
- Prior experience in ROS / ROS2.
- Prior experience with human subjects or human-centric research.
- Prior experience in scientific Python, R, or similar statistical analysis tools.
Responsibilities
- Procedural track generation using generative AI, involving the design and implementation of new or extended generative methods to create novel driving environments.
- Dynamic content creation for our CARLA-based driving simulator, integrating AI-driven or algorithmic content into interactive simulation systems such as CARLA, Unreal, or similar platforms.
- Driver skill assessment, contributing to the development and validation of models that characterize driver behavior, measure performance, and support human-centered evaluation.
Other
- Currently at-least second year pursuing a Ph.D. in Computer Science, Robotics, Human-Robot Interaction, or related fields.
- Strong written and oral communication skills.
- Experience in working in multi-disciplinary teams.
- Must have a high level of self-initiative to prioritize and manage workload and meet project deadlines in a dynamic environment.
- Ability to work in a hybrid in-office role and collaborate with other researchers.
