Doctoral Researcher Digital twins for neuromodulation, Full time research position starting as soon as possible, remuneration according to TV-L E13 Bavaria regulations
Uni Erlangen-Nürnberg, Germany
- Institution
- Uni Erlangen-Nürnberg
- Country
- Germany
- Position type
- PhD
- Subject area
- Biology & Life Sciences
- Application deadline
- 9 September 2026
- Location
- Erlangen, Bayern, DE
- Funding
- Fully funded position
Want to be the strongest applicant for this position?
Book a free 15-minute call with our team. We will look at your profile against what Uni Erlangen-Nürnberg is actually looking for, and tell you honestly where you stand and what to strengthen before you apply.
Book a free call about this position →No cost, no obligation. Mentors who have secured funded PhD positions themselves.
We mentor STEM applicants only. If your research aspirations are outside STEM subjects, you're very welcome to use this board and apply directly; we just aren't the right people to mentor you.
About this position
The Professorship of Digital Health at FAU Erlangen-Nürnberg invites applications for a Doctoral Researcher Digital twins for neuromodulation, Full time research position starting as soon as possible, remuneration according to TV-L E13 Bavaria regulations.
Ihre Aufgaben
Project Description: Neuromodulation technologies have made dramatic advances in the last few decades, relieving a plethora of disorders. However, the definition of clinically meaningful neurostimulation strategies is challenging due to the growing number of clinical applications, the increasing complexity of the corresponding technologies and vast inter-subject variability of physiological parameters in humans. Digital twins are natural candidates to optimize and personalize neurotechnologies for clinical use. In this project the successful candidate is asked to develop a framework for the rapid elaboration of personalizable computational models of the nervous system. The successful student will be asked to develop and integrate image-based reconstruction technologies to automatically generate digital twins of individual subjects. The successful student will consolidate mathematical models of neural substrates and multi-physics modeling into this framework to test, enhance and personalize the efficacy of existing neuromodulation technologies and explore novel applications.
Ihr Profil
Notwendige Qualifikationen:
- Master´s Degree in Physics, Electrical Engineering, Biomedical Engineering, Neuroscience or related
- Experience in one or more: Mathematical Modeling for Physics and/or Engineering, Computational Neuroscience, 3D CAD, Image-Based Reconstruction, Machine Learning
- Proficiency in Python, Matlab, C++
- Good written and verbal skills in English
Stellenzusatz
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. Please send your application including cover letter (max. 1 page), plus full CV and transcripts, as one PDF document via e-mail (see contact information below). Please note that the candidate evaluation involves one or more scientific-technical presentations and interview appointments to be held via teleconferencing. Applications sent via e-mail will be confirmed within a week. Furthermore, please note that applications not complying with the above requirements may neither be confirmed nor considered.
| Einstellungstermin | 01.11.2026 |
|---|---|
| Bewerbungsschluss | 09.09.2026 |
| Ort | Institut für Medizininformatik, Biometrie und Epidemiologie Henkestr. 91, Geb. 7 91052 Erlangen |
| Entgelt | TV-L E 13 |
| Arbeitszeit | Vollzeit |
| Wochenarbeitszeit | Nach Vereinbarung |
| Befristung | Befristete Anstellung |
| Kontakt | Professur für Digital Health
|
Anmerkung
Für alle Stellenausschreibungen gilt: Die Friedrich-Alexander-Universität fördert die berufliche Gleichstellung der Frauen. Frauen werden deshalb ausdrücklich aufgefordert, sich zu bewerben.
Schwerbehinderte im Sinne des Schwerbehindertengesetzes werden bei gleicher fachlicher Qualifikation und persönlicher Eignung bevorzugt berücksichtigt, wenn die ausgeschriebene Stelle sich für Schwerbehinderte eignet. Details dazu finden Sie in der jeweiligen Ausschreibung unter dem Punkt „Bemerkungen“.
Bei Wunsch der Bewerberin, des Bewerbers, kann die Gleichstellungsbeauftragte zum Bewerbungsgespräch hinzugezogen werden, ohne dass der Bewerberin, dem Bewerber dadurch Nachteile entstehen.
Ausgeschriebene Stellen sind grundsätzlich teilzeitfähig, es sei denn, im Ausschreibungstext erfolgt ein anderweitiger Hinweis.
Apply directly to Uni Erlangen-Nürnberg
Emerging Scholars Council is not the employer and does not recruit for this position. It is advertised by Uni Erlangen-Nürnberg, and your application goes to them. We help students prepare and strengthen their applications.
Go to the official application page →Applications close 9 September 2026.
Contact listed in the advert
Some positions — especially in Germany, Austria and Switzerland — are filled by writing directly to the supervisor rather than through an online form. These addresses were taken from the advert text, so check them against the official listing before you write.
A cold email to a supervisor is the highest-leverage thing you can send — and the easiest to get wrong. Ask us to look at yours before you hit send.