Postdoctoral Scientist: Embodied Intelligence and Robot Learning for Dexterous Manipulation jobs in United States
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Honda Research Institute USA, Inc. · 7 hours ago

Postdoctoral Scientist: Embodied Intelligence and Robot Learning for Dexterous Manipulation

Honda Research Institute USA (HRI-US) in San Jose, California, is seeking a highly motivated Postdoctoral Scientist to join their robotics and embodied AI research team. The role focuses on advancing embodied intelligence and dexterous robotic manipulation through multi-modal representation learning, integrating various sensory inputs to develop next-generation embodied AI systems.

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Responsibilities

Design and develop multi-modal representation learning algorithms to support embodied AI and physical intelligence, integrating tactile, force, vision, audio, and language input
Adapt and fine-tune large-scale pre-trained models (e.g., vision-language models, foundation models for robotics) to enable physical reasoning and manipulation capabilities
Develop action policies or control networks that directly leverage these learned representations to perform precise, in-hand manipulation using multi-fingered robotic hands
Deploy and validate perception and control algorithms on real robotic platforms, including sensor calibration, system integration, and testing on state-of-the-art multi-fingered hands
Collect and curate multi-modal datasets from both physical hardware and simulation (digital twin) environments to support model training, benchmarking, and sim-to-real transfer
Publish and present research findings at top-tier robotics and AI conferences and journals (e.g., ICRA, RSS, CoRL, NeurIPS)

Qualification

Multi-modal representation learningRobotic manipulationMachine learningDeep learning frameworksPython programmingC++ programmingROSROS2Tactile sensingComputer visionSimulation platformsLarge models

Required

Ph.D. in computer science, robotics, or a related field
Experience working with tactile, force, and/or visual sensing in robotic manipulation tasks
Strong background in machine learning and experience with deep learning frameworks such as PyTorch or TensorFlow
Proven ability to implement, train, and deploy machine learning models on physical robotic hardware
Strong programming skills in Python or C++
Familiarity with ROS or ROS2 and developing end-to-end systems

Preferred

Experience with robotic manipulation, grasping, and control using multi-fingered hands
Hands-on experience with tactile sensing technologies (e.g., taxel-based sensors, GelSight)
Familiarity with simulation platforms such as Isaac Sim, Isaac Lab, or Mujoco
Experience building digital twins or sim-to-real pipelines for robotics
Experience with computer vision and multisensory perception
Experience with large models (e.g., VLMs, multi-modal transformers, or foundation models) for perception or control

Company

Honda Research Institute USA, Inc.

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Honda Research Institute, USA was established in 2003 as North America’s advanced research center that provides innovative solutions to complex problems with direct applications to Honda’s current and future technology roadmap.

H1B Sponsorship

Honda Research Institute USA, Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (12)
2024 (7)
2023 (9)
2022 (10)
2021 (4)
2020 (4)

Funding

Current Stage
Growth Stage
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