We are currently seeking an experienced, self-motivated and well-qualified researcher to investigate perception challenges for autonomous and/or remote-control mining equipment within Rio Tinto Centre for Mine Automation.
The project will involve developing robotic perception capabilities for mining equipment (excavators, trucks, drills, etc) for real-time operational and safety requirements, such as tracking other equipment, people, rock-face geometry, geological features, or safety hazards. A variety of sensor technologies may be employed for the challenging dusty and remote environments, with information fused from e.g. RADAR, LIDAR, visual/hyperspectral cameras, GNSS/INS, etc. This work is intended to integrate with mapping, planning and control systems, and a broad robotics understanding will be invaluable. The role will also involve collaborating with industry to pioneer new capabilities and deploy on real-world systems for automation of mining equipment. This role will provide an exceptional opportunity to work closely with academia and Rio Tinto at the intersection of fundamental research into field-robotics and mine operations. You will work with the Centre’s team of software engineers to facilitate the real-world validation and operational deployment of your academic research. You will be expected to build research areas, engage in academic publication of research, supervise research students, and engage directly with the industry partner. This research-focused role does not require a teaching load, but opportunities may be available if desired.