Master Thesis: Machine Learning classification in Integrated Sensing and Communication

Join our Team About this opportunity: Modern radio networks can be used as radar-like sensors to detect and classify moving objects — a capability broadly referred to as Integrated Sensing and Communication (ISAC). Our team builds the machine-learning models behind this capability. As we deploy the models to different locations and extend it to more object classes, two operational problems dominate our research agenda: Cross-location generalisation: models trained on data from one location do not always transfer to another. Every new location currently requires labelled data-to attune for the new location — a slow and expensive step that gates deployment. Multi-class extension: adding new object classes without degrading performance on existing ones.…