About the role
AI summarisedPioneer advanced research at the intersection of machine learning, simulation, and physical robotic systems. Lead efforts in developing novel AI-driven robotic capabilities, including multimodal perception, dexterous manipulation, reinforcement learning, motion generation, and simulation-to-real transfer to translate cutting-edge research into production-ready robotic intelligence.
ResearchOnsite
Key Responsibilities
- Pioneer and lead research or translation of research into industrial robotics applications, focusing on AI for robotics.
- Develop novel algorithms and models for manipulation, navigation, and adaptive autonomy in complex manufacturing environments.
- Build and refine high-fidelity simulation environments using simulators like Isaac Sim, Gazebo, or custom simulators.
- Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.
- Architect and collaborate with engineers to develop proof-of-concept software solutions and demonstrators using C++ and Python and libraries such as ROS.
- Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.
- Drive application-oriented robotic research towards industrial automation.
- Publish research findings in top-tier robotics/AI venues and develop technical documentation.
Requirements
- PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.
- 3-5 years of relevant professional experience.
- Strong proficiency in C++ and Python.
- Expertise with ROS and its ecosystem (ROS/ROS2).
- Expertise in AI/ML model development, including reinforcement learning or imitation learning.
- Demonstrated ability to pioneer research or translate findings into practical software prototypes.