The research group "Computational Neurology" develops machine/deep learning methods along with theory-driven approaches from physics to better monitor, predict and prevent health deteriorations in epilepsy, intensive care and other neurological settings. Our approach utilizes multimodal data over the health-disease continuum, including wearables, in-hospital neuromonitoring, video and EEG. We are also studying the foundations of optimal information processing in biological and artificial intelligence neural networks. We are a highly interdisciplinary group where medical doctors/neurologists work closely together with natural scientists including physicists/data scientists. Our modern lab and office spaces are located in central Berlin at Charité Campus Mitte.

You can learn more about our work also on our website www.computational-neurology.org

• analysis of multimodal time series data, including from from wearables and EEG
• developing predictive machine/deep learning models
• numerical simulations and modelling
• conduct research with clinical partners in a highly interdisciplinary team
• investigate the parallels in optimal function between biological and artificial neural networks

• degree in a relevant field (e.g. Physics, Informatics, Data Science etc.)
• programming skills (Python/Matlab)
• strong communication skills
• interest in working in a translational clinical environment
• a general background in either neuroscience or nonlinear dynamics is beneficial

Please send all application documents, such as your cover letter, resume and certificates to

Prof. Dr. med. Dipl.-Phys. Chris­tian Meisel
christian.meisel@charite.de
www.computational-neurology.org