Humanoids Researcher

Educational Requirements Service Line Responsibilities

• Preferred Research Background (research experience in one or more of the following areas)
• Embodied AI (Multi-modal perception, Cognition, Learning, Decision Making)
• Action Planning Decision Making (Autonomous task execution, Intent prediction, Scene Reconstruction, Adaptive behavior)
• Motion Movement Control (Kinematics, Dexterity, Locomotion, Balance Gait Control, Manipulation, Common sense reasoning)
• Simulation Testing Environments (Physics Modelling, High-Fidelity Motion Simulation, Environment Mapping)
• Human-Robot, Robot-Robot Interaction (Cognitive Interfaces, Interaction Safety, User Experience, Swarm Intelligence, Robot-Environment interaction)

Additional Responsibilities

• Preferred Qualification PhD/DSc (preferred) or Masters in Computer Science, Mechatronics, Mechanical Engineering, Robotics, Electrical/Electronics Engineering, or a related technical field.

Technical and Professional Requirements

• Hands-on training experience in Robotics
• Hands-on training experience in robot learning techniques, such as reinforcement learning, imitation learning as well as classical control methods
• Understanding of Robot kinematics, dynamics and sensor
• Familiarity with control as PID, model predictive control (MPC), and whole-body control
• Skills in algorithmic problem solving and software proficiency for Robotics (ROS/ROS2, C++, Python, C#, MATLAB/Simulink, and/or C/C++ for embedded systems)
• Simulation expertise using tools such as Gazebo, NVIDIA Isaac Sim, RViz, and MuJoCo for modeling and testing robotic systems
• Experience with AI architectures, including LLMs, foundation models, robotic world models, SLAM, VLMs, and VLAs
• Experience in multimodal sensor fusion, combining data from vision, depth, and other sensors for robotics applications
• Competence in simulation environments and modeling (Gazebo, Issac Sim, 3D simulation)

Preferred Skills

• Technology->AI-Generative AI->Artificial Intelligence - BASIC
• Technology->AI-Physical AI-Robotics Algorithm->Forward/Inverse Kinematics
• Technology->AI-AI Engineering->LLMOps