The Professorship of Digital Health at the FAU Erlangen-Nuremberg, invites applications for a fully funded PhD position (TV-L E13, 100%) at the intersection of computational neuroscience and artificial intelligence (AI).

About the project:The doctoral candidate will develop AI-driven methods for digital phenotyping based on ubiquitous sensor data to continuously track behavioral and physiological changes in individuals. These insights will be integrated with neuroimaging-informed, patient-specific computational models to inform steerable neurostimulation strategies. The goal is to optimize stimulation parameters across the patient’s longitudinal therapeutic journey, enabling personalized and responsive therapy for neurological and psychiatric disorders.

Notwendige Qualifikationen:

Qualifications:We are looking for a highly motivated candidate with the following qualifications:

• Master’s degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field
• Strong programming skills (e.g., Python, MATLAB, R)
• Experience with machine learning and AI, ideally in health or behavioral domains
• Familiarity with ubiquitous/wearable sensor data (e.g., physiological monitoring, smartphone usage)
• Background in computational modeling of neural systems (e.g., NEURON, The Virtual Brain, Sim4Life) is a strong plus

ApplicationPlease send the following as a single PDF file:

• A 1-page cover letter outlining your motivation and fit for the position
• Your CV
• Academic transcript(s)
• Contact information for two academic referees

Submit your application to andreas.rowald@fau.de . FAU is a member of the Best Practice Club ‘Family and University’ and promotes equal opportunities. Female candidates are specifically encouraged to apply. The position is open to start immediately or at a negotiated date.