Postdoctoral Researcher, Human Aware Interaction Learning

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life.

• Perform research and publish on relevant topics in appropriate venues. Depending on the exact project outcome, publication target venues include, e.g., ICRA, CVPR, NeurIPS, and HRI. Publication emphasis is on how novel representations allow robots to learn to interact with humans towards long-term shared autonomy in a data-efficient, robust, and explainable way, with results in our teams’ problems and domain of interest.
• 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.

• Ph.D in related fields (by end date) - ML/AI, robotics, human-centric AI, or computer vision. Some experience with robot systems is needed.
• Strong publications record in top ML/robotics venues. Specific areas: robot foundation models and their use for human interaction, ML and synthetic data for human-collaborative embodied reasoning, imitation/reinforcement learning, and learning-based shared control and planning for human interactions.
• Coding:
  Python, experience working in a team on joint scientific projects. Experience training deep learning models in e.g., Pytorch/Tensor Flow.
• An ideal candidate can refine a topic and execute a scientific research plan in collaboration with other researchers.