Doctoral Candidate Position, FAU, Erlangen-Nuremberg, Germany

Postdoc in Germany

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


ItemDetails
Research AreaComputational Neuroscience and AI
LocationFAU, Erlangen-Nuremberg, Germany
Eligibility/QualificationMaster’s degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field
Employment TypeFull-time (100%)
SalaryTV-L E13
Application DeadlineAugust 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.

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