Role Summary
About The Role
We are seeking for an Embodied AI Scientist to conduct fundamental and applied research in humanoid robotics, with a particular emphasis on actuator-centric embodied intelligence. The successful candidate will contribute to the development of learning-enabled control and decision-making frameworks that are deeply integrated with the physical dynamics, sensing and actuation of humanoid robotic systems. You are expected to work in a multidisciplinary research group spanning robotics, control, artificial intelligence and mechatronic system
Job Description
- Conduct research on embodied AI methods for humanoid robots, focusing on joint-level actuation, compliance, force interaction and energy-efficient motion
- Develop learning-based and model-based control strategies that explicitly account for actuator dynamics, nonlinearities and other physical constraints
- Integrate multi-modal sensing which includes closed-loop control of position, force/torque, tactile and visual feedback as well as deployment of learning control architectures such as reinforcement learning
- Adapt Controller tuning transfer challenges through system identification, domain adaptation and adaptive control methods
- Investigate safe and constrained learning approaches for humanoid locomotion and manipulation under uncertainty.
- Integration of the mechanical transmission, actuator and control system into the humanoid robot to demonstrate the embodied intelligence
- Design and conduct experimental studies using humanoid joint modules, actuation testbeds and full-body robotic platforms
JOB REQUIREMENT
- Ph.D. degree in Mechanical, Electrical, Control or Mechatronics Engineering
- 3-5 years of work experience or similar is preferred
- Fresh graduates are also encouraged to apply
We Value The Following Skills And Experience
- Experience with the development and control of humanoid robotics systems
- Knowledge of machine learning applications in motion control, such as reinforcement learning will be a plus
- Good understanding of the various actuation principles and up to date with state-of-the-art actuation technologies
- Experience with the design and integration of BLDC and/or PMSM electric motors in robotics joint module
- Familiarity with numerical simulation software tools e.g. Ansys maxwell, Comsol Multiphysics, JMAG
- Experience with the prototyping and assembly of actuator components e.g. frameless motor assembly
- Good working knowledge of digital control techniques and hardware implementation in embedded controllers
- Proficiency in programming languages such as C, C++, Python, or MATLAB.
- Familiarity with industrial communication protocols (e.g., CAN, EtherCAT, Modbus).
- Excellent problem-solving and analytical skills
- Good communications skills and the ability to work in a team