Postdoctoral Research Scientist: Robotics and Control Systems - Honda Research Institute USA

Postdoctoral Research Scientist: Robotics and Control Systems

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Postdoctoral Research Scientist: Robotics and Control Systems

Job Number: P25T01
Honda Research Insititute USA (HRI-US) is seeking a ​passionate and self-motivated postdoctoral research scientist to join our Robotics Division. Postdoctoral scientist on Robotics and Control Systems will innovate and participate in key areas of robot behavior design including development of failure reasoning and recovery methods as well as high-level planning and control algorithms with applications to robotic dexterous manipulation.
San Jose, CA

 

Key Responsibilities

 

  • ​Research, ideate, and implement novel and robust model- and learning-based robot behaviors and interaction control algorithms, enabling contact-rich manipulation in various real-world application domains including dexterous object manipulation.
  • Research, ideate, and implement robot reasoning algorithms for understanding and predicting failure, recoverying from failure, and learning successful task strategies through adaptive intelligence that can enable generalizability to new scenarios.
  • Develop and implement simulation environments for data collection.
  • Validate dexterous robot behavior algorithms through comprehensive data analysis and successful demonstrations on hardware.
  • Deliver results in accordance with the project timelines.
  • Assist with compiling written and oral reports for executives within the company and performing demos.
  • Contribute to the portfolio of patents, academic publications, and prototypes to demonstrate research value.
  • Collaborate with our teams of scientists and engineers in Honda's regional and global R&D offices, as well as with our partners in academia and industry.
  • Assist with supervising interns.

 

Minimum Qualifications

 

  • Ph.D. in mechanical engineering, robotics, electrical engineering, computer science, or a related field.
  • Expert knowledge on fundamentals of robotics. e.g. robot kinematics and dynamics, control systems, force control, haptics.
  • Expert Knowledge on learning-based methods such as reinforcement learning, generative models and inference models.
  • Extensive hands-on experience on development and successful implementation of planning, control and recovery algorithms for contact-rich manipulation in real-world.
  • Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
  • Familiarity with large models including VLMs, LLMs, and multi-modal foundation models.
  • Strong track record of publishing in top robotics venues (e.g T-RO, RA-L, T-M, ICRA, IROS, RSS, CoRL, …)
  • Solid programming skills in C++ or Python and strong familiarity with ROS.
  • Self-motivated to advance the project and deliver on-time.
  • Strong written and oral communication skills including development and delivery of presentations, papers, and technical documents.

 

Bonus Qualifications

  • Strong familiarity with both model and learning-based approaches for manipulation.
  • Extensive experience with algorithm and software development (and debugging) for complex robotic systems involving design, implementation and integration of multiple planners, controllers, and perception systems.
  • Research experience and expertise in planning and control for dexterous manipulation with tactile robotic multi-fingered hands.

 

Desired Start Date  3/2/2026
Contract Duration  3 years
Position Keywords  ​Embodied AI, Robotics, Scene Understanding, Teleoperation, Dexterous Manipulation, Computer Vision 

Alternate Way to Apply

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- Subject line including the job number(s) you are applying for 
- Recent CV 
- A cover letter highlighting relevant background (Optional)

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