Doctoral Candidate Position: The Friedrich-Alexander-University Erlangen-Nuremberg (FAU) is inviting applications for a fully funded PhD position at the intersection of computational neuroscience and artificial intelligence (AI) aimed at developing personalized neurostimulation therapies. This position is part of the Professorship of Digital Health.
Doctoral Candidate Position in Computational Neuroscience & AI for Personalized Neurostimulation
Designation
Doctoral Candidate in Computational Neuroscience & AI for Personalized Neurostimulation
| Item | Details |
|---|---|
| Research Area | Computational Neuroscience and AI |
| Location | FAU, Erlangen-Nuremberg, Germany |
| Eligibility/Qualification | Master’s degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field |
| Employment Type | Full-time (100%) |
| Salary | TV-L E13 |
| Application Deadline | August 15, 2025 |
Description
The selected candidate will develop AI-driven methods for digital phenotyping using data from ubiquitous sensors to track behavioral and physiological changes in individuals. The integration of these insights with patient-specific computational models aims to enhance neurostimulation strategies tailored for neurological and psychiatric disorders over time.
Responsibilities:
- Develop algorithms and methodologies for data analysis.
- Work with neuroimaging-informed computational models.
- Collaborate with interdisciplinary teams to implement findings in therapeutic practices.
How to Apply
Candidates should submit a single PDF file containing:
- A 1-page cover letter outlining motivation and fit for the position.
- Current CV.
- Academic transcript(s).
- Contact information for two academic referees.
Send the application to: andreas.rowald@fau.de.
Last Date for Application
August 15, 2025
Additional Notes:
FAU promotes equal opportunities and encourages applications from female candidates and individuals with disabilities, ensuring all qualified applicants receive fair consideration.
