Are you interested in developing next-generation sensing technologies for unobtrusive sleep and physiological monitoring? In this role, you will contribute to research that uses radar and complementary sensing technologies to monitor sleep and related physiological signals in living-lab and home-like environments. You will work as part of a multidisciplinary team developing algorithms, experimental methods and research prototypes that could support future technologies for dementia care, sleep health and long-term remote monitoring.
You will develop and evaluate signal processing and machine learning methods for interpreting radar and multimodal physiological data. Your work will focus on extracting meaningful sleep and physiological information from unobtrusive sensing systems, including respiration, cardiac activity, body movement, sleep posture and sleep-related events.
You will help design and run validation studies with human participants, including the collection and analysis of data from radar, sleep monitoring systems and reference physiological measurements. You will also contribute to the development and refinement of research prototypes, including radar systems, under-mattress or contactless sensing devices, and associated data acquisition pipelines.
We are looking for a motivated and collaborative researcher with experience in one or more of the following areas:
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