We are looking for a postdoctoral researcher in Computer Science for a fixed-term 2-year position at the School of Science and Technology.Subject areaThe subject area for this position is Computer Science, with a focus on machine learning and signal processing applied to proprioceptive sensing.BackgroundWe are looking for a postdoctoral researcher to tackle a hard and impactful sensing problem: developing machine learning approaches for turning the vibration signals of mining machines into precise, bucket-by-bucket estimates of how finely rock has been fragmented underground, where cameras and conventional sensors struggle.Crushing and grinding of ore in the mining sector accounts for roughly 3% of the global total electricity use. Better fragmentation data enables energy and efficiency gains across the entire production chain.The position is funded by an industrial research project in collaboration with Epiroc and Boliden, funded by the Swedish Energy Agency (Impact Innovation, Swedish Metals & Minerals). The two main goals of the project are to advance proof-of-concept results for proprioceptive sensing toward a validated technology and to extend the capabilities of today's state-of-the-art methods to extracting a richer set of material characteristics from piled materials.The position is associated with the Robot Navigation and Perception Lab which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment and Örebro University’s AI, Robotics, and Cybersecurity center (ARC). We are an international team working with robotics and AI applied to real field conditions, and you will have access to real machines, real underground environments, and industrially relevant data, with a clear path from research to deployment.Duties and responsib…

Postdoctoral researcher in Computer Science