Job ad: PhD scholarship in Deep Learning Analysis of Normal and Sleep Disordered Sleep using Physiological Signals

PhD scholarship in Deep Learning Analysis of Normal and Sleep Disordered Sleep using Physiological Signals

The Department of Health Technology (DTU Health Tech) invites applicants for a 3-year interdisciplinary PhD scholarship within the fields of biomedical engineering and sleep/brain science.

The candidate will design advanced digital signal processing and machine learning techniques on nocturnal polysomnography (PSG) signals and imaging data. A PSG is a sleep study, which is comprised of multiple digital signals measured during night, such as electroencephalography (EEG), electrocardiography (ECG), electromyography (EMG), electrooculography (EOG), and several respiratory signals. In this position, the candidate can expect to perform BIG DATA analysis on tens of thousands of recorded sleep studies.