Doctoral Candidate in Computational Neuroscience | Doctoral Candidate in Computational Neuroscience (m/d/w)

Job Summary

This fully funded PhD position at FAU Erlangen-Nuremberg focuses on developing AI-driven methods for digital phenotyping using ubiquitous sensor data. The successful candidate will track behavioral and physiological changes, integrating these insights with neuroimaging-informed computational models to optimize neurostimulation strategies. The goal is to personalize therapy for neurological and psychiatric disorders, enabling responsive and adaptive treatment. This role is ideal for a highly motivated individual with a strong background in computer science or biomedical engineering, eager to contribute to cutting-edge research in computational neuroscience and AI for health applications.