Research Scientist in Human-Centric Robotics and Perception

2 weeks ago


Los Altos, California, United States Toyota Research Institute Full time
About Toyota Research Institute

At Toyota Research Institute (TRI), our mission is to enhance the quality of human life through innovative technologies. We are committed to developing advanced tools and capabilities that enrich the human experience.

Role Overview

Our Human-Aware Interaction and Learning team is seeking talented Research Scientists specializing in robotic perception and computer vision. This role is integral to our efforts in exploring the dynamics of human-robot interaction, particularly in the context of mobility.

Key Responsibilities
  • Conduct pioneering research in perception for robotic systems, addressing significant practical challenges and validating findings through real-world benchmarks.
  • Implement cutting-edge perception algorithms to operate in real-time within high-performance systems, encompassing planning and control.
  • Advance the field of Human-Machine Interaction and Shared Control in both robotics and driving scenarios.
  • Collaborate with a diverse team of researchers and engineers across TRI, Toyota, and academic institutions.
  • Stay informed on the latest developments in computer vision and robotic perception.
  • Present research outcomes through verbal and written communications at prestigious international venues and contribute to open-source projects.
  • Lead partnerships with external research collaborators and mentor interns in research initiatives.
Qualifications

The ideal candidate will possess:

  • A Bachelor's or Master's degree in a quantitative discipline (e.g., Computer Science, Mathematics, Engineering).
  • A Ph.D. or substantial expertise in a relevant area such as Computer Vision or Robotics.
  • Proficiency in scientific programming with Python, Unix, and robotic frameworks (e.g., ROS2.0), along with familiarity with deep learning frameworks (preferably PyTorch).
  • Hands-on experience in practical computer vision applications, including geometric techniques like camera calibration and key point extraction.
  • A proven track record of publishing in high-impact conferences and journals related to computer vision and perception.
  • The ability to identify, propose, and lead innovative research projects collaboratively.
  • A passion for developing human-centric artificial intelligence that benefits society.
  • A strong commitment to teamwork, integrity, and open communication.
Commitment to Diversity

TRI is proud to foster a diverse and inclusive community. We believe that a variety of backgrounds and experiences strengthens our organization. We are dedicated to providing equal employment opportunities for all individuals, regardless of their race, gender, or any other status protected by law.



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