Postdoctoral Researcher, Human Aware Interaction Learning

NextGenEnergyJobs; Cambridge, Northern (MA, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Toyota Research Institute (TRI) is seeking a PhD-level researcher to advance human-robot interaction through novel representations and learning-based shared control. You will publish in venues like ICRA, CVPR, NeurIPS, and HRI, and work with a team to validate new approaches from inception to deployment.

The role emphasizes data-efficient, robust, and explainable learning for long-term shared autonomy in robot-human collaboration, requiring strong publications and Python-based ML experience.

Qualifications

• Ph.D. in ML/AI, robotics, human-centric AI, or CV with expected completion by end date.
• Strong publication record in top ML/robotics venues.
• Experience coding in Python and training deep learning models in PyTorch or TensorFlow.

Responsibilities

• Research and publish on topics in relevant venues (ICRA, CVPR, NeurIPS, HRI).
• Explore computational and cognitive phenomena with a research team to build new approaches.
• Develop ideas from conception to validation of the approaches.

Skills

Python

Deep learning

Pytorch

TensorFlow

Team collaboration

Education

Ph.D in ML/AI/robotics

Tools

PyTorch

TensorFlow

Job description

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

Responsibilities

• 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.

Requirements

• 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/TensorFlow.
• An ideal candidate can refine a topic and execute a scientific research plan in collaboration with other researchers.