Research Fellow (Robotics)
The role involves developing advanced human motion prediction and self-learning algorithms for virtual–real robotic systems, focusing on the safe handling of hazardous elements in End-of-Life (EoL) products. The postholder will integrate real-world robotic inspection with digital twin environments, collaborating with the HARMONICA consortium.