In this project, advanced deep learning algorithms will be developed for medical data (e.g. biomedical signals, images, sound, touch, pressure, etc.). The sensors will be studied, signal processing methods will be applied for feature extractions, the dynamic of the data will be modelled and associated deep neural network models will be developed for clinical applications (e.g. detection, diagnosis, measurement, evaluation, etc.). The ideal candidate should have good knowledge on mathematics, signal processing, machine learning and sensors. Good programming skills are desirable.