Human Interactive Driving Intern – Human Aware Interaction and Learning
Toyota Research Institute (TRI) is focused on improving the quality of human life through innovative technologies. The Human Interactive Driving Intern will engage in research to enhance interactions between human drivers and intelligent vehicles, aiming for publication in top-tier conferences.
Responsibilities
- Perform research and publish in a relevant venue on relevant topics. Publication target venues include CVPR, ICRA, NeurIPS, and HRI, depending on the exact project outcome. Emphasis on how novel representations allow us to capture human characteristics and interact with humans towards long-term shared autonomy, in a data-efficient, robust, and explainable way. The exact topic is to be finalized with the mentor
- Exploration of both computational and cognitive phenomena, working with a team of researchers to create new approaches for understanding, predicting, and interacting with humans
- Work from approach inception and ideation to validation of the developed approaches
Skills
- Ph.D. Student in related fields - ML/AI, robotics, human-centric AI, or computer vision
- Publication background in relevant venues in the field. Specific areas: Imitation/reinforcement learning (RL), control and decision theory, human behavior modeling and understanding, shared control, and computational tutoring
- Frameworks: Pytorch/TensorFlow, and similar DL frameworks and tools
- Coding: Python, experience working in a team on joint scientific projects
- An ideal candidate can refine a topic and complete a scientific research plan in collaboration with the mentor and other researchers
Benefits
- Medical, dental, and vision insurance
- Paid time off benefits (including holiday pay and sick time)
Company Overview
Company H1B Sponsorship