Connectionists: Doctoral Candidate Position in Computational Neuroscience & AI for Personalized Neurostimulation
Rowald, Andreas
andreas.rowald at fau.de
Fri Jul 4 03:57:38 EDT 2025
The Professorship of Digital Health at the Friedrich-Alexander University of Erlangen-Nuremberg, invites applications for a fully funded doctoral candidate position (TV-L E13, 100%) at the intersection of computational neuroscience and artificial intelligence (AI).
About:
The doctoral candidate will develop AI-driven methods for digital phenotyping based on ubiquitous sensor data to continuously track behavioral and physiological changes. 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.
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)
Application
Please send the following as a single PDF file:
* A 1-page cover letter
* Your CV
* Academic transcript(s)
* Contact information for two academic referees
Submit your application to andreas.rowald at fau.de.
Best,
Andreas Rowald
Andreas Rowald, PhD
Associate Professor for Digital Health
Department of Medical Informatics, Biometry and Epidemiology
Department Artificial Intelligence in Biomedical Engineering
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
https://www.pdh.med.fau.de/
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