Postdoctoral research position
EEG Signal Processing and Machine Learning
We are inviting applications for a two-year postdoctoral position within signal processing and machine learning of sleep EEG. The research is a part of a project focusing on ear-EEG for sleep monitoring. The aim is to develop technology providing a less expensive, less obtrusive and more precise assessment of sleep. The research focuses on semi-supervised learning methods to develop sleep assessment algorithms tailored to the individual subjects. The research will be based on data from ear-EEG recorded over extended periods of time, where sleep labels, obtained from concurrently PSG recordings, are only available from a few nights for each subject.
