A fully funded PhD position is available in agricultural robotics, focusing on real-time environmental adaptation of robots through multi-source data fusion. The research will involve developing frameworks for integrating sensor data from drones, satellites, weather stations, and ground sensors, and applying deep learning techniques for task planning and navigation. Candidates will be expected to conduct field trials and publish findings in high-impact journals.
