







The research group Control and Automation at inspire AG offers the following position in collaboration with Bota Systems, an ETH Zurich spin-off, developing high-precision force-torque sensors that give robots a refined sense of touch. Bota Systems sensors are accelerating Robotic AI research by providing the accurate force feedback essential for imitation learning and RL policies in contact-rich applications. Our research group works on increasing the efficiency of robotics systems in real-world deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're looking for a skilled Research Engineer to develop and deploy cutting-edge reinforcement learning (RL) and imitation learning (IL) algorithms on real-world robot platforms. The project requires hands-on expertise in RL and control for robotics. Job description * Develop customized RL and IL pipelines for industrial applications, going from theoretical analysis to implementation and testing on real data * Develop and maintain the codebase to support various training modules and libraries * Collaborate with our industrial partner and collect extensive datasets on real hardware * Deploy policy on real robots in industrial applications