Humanoids Researcher

Applied Research Centers: Research Positions (PhD/ DSc/ Masters)ContextApplied Research Centers (ARCs) at Infosys are dedicated research centres to harness the potential of emerging technological advancements and capabilities. The recent launch of the Humanoids Research Center brings together passionate experts across our ecosystem to explore the next frontier of humanoid systems and related technologies through applied research, experimentation, and cross-functional collaboration. As part of this initiative, you will have the opportunity to lead focused research programs in strategic domains, contribute to thought leadership, identify breakthrough opportunities for IP generation, and design Living Lab use cases—turning advanced concepts into practical, high-impact solutions for the real world.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-Environnent interaction)SkillsHands-on training experience in RoboticsHands-on training experience in robot learning techniques, such as reinforcement learning, imitation learning as well as classical control methodsUnderstanding of Robot kinematics, dynamics and sensorsFamiliarity 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++, 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).Experience with large scale machine learning compute systems.Strong foundation in AI/ML, including problem-solving algorithms, NLP, neural network architectures and deep learning methodologies.Advanced knowledge in computer vision and human–machine interaction (speech, gesture, emotion, sentiment synthesis/analysis).Proven ability to translate high-level concepts into functional robotics systems and solutions.Track record of research contributions, with publications in top-tier conferences or journals in related fields.Experience in intellectual property (IP) creation and patenting processes.Excellent communication, technical writing, and presentation skills.Preferred QualificationPhD/DSc (preferred) or Master’s in Computer Science, Mechatronics, Mechanical Engineering, Robotics, Electrical/Electronics Engineering, or a related technical field.