PhD Vacancy - Machine Learning for Real-time Motor Decoding in Neurotechnology

You will work on the development of new machine learning models for the decoding of motor and speech signals from brain activity. You will be part of the Dutch consortium'INTENSE' (intenseproject.eu The project focuses on the development of machine learning methods for decoding of motor events from neural activity with a long-term goal to apply the developed tools to the clinical setting, such as control of a robotic arm and/or the restoration of speech in patients with severe motor paralysis due to stroke, trauma or a neurodegenerative disease. To bring the decoding approaches closer to future clinical application, specific attention will be given to development of a real-time (online) decoding framework and focus on session-to-session neural variability, continual learning and model adaptation. During the project, you will develop machine learning models and apply them to human intracranial neural data (stereo-electroencephalography, sEEG) collected by our project collaborators at Maastricht University/MUMC and UMC Utrecht.