OpenFieldPh.D. in Medical Engineering & Biomedical Imaging Doctoral Fellowship
Doctoral research position in Erlangen's renowned Medical Valley, developing AI-driven CT/MRI reconstruction, digital pathology, and surgical robotics.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Master of Science in Medical Engineering, Computer Science, or Electrical Engineering (grade 2.0 or better)
- English language proficiency
- Fluent academic English
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Master's thesis in medical image processing or machine learning
- Recommendation letters
- Two academic recommendation letters
How much will it cost? How much funding is available?
- Financial support / stipend
- Fully salaried TV-L E13 position (approx. €52,000 gross per year)
- Application fee
- Zero application fee
- Tuition / joining costs
- €0 tuition (salaried doctoral researcher)
Dates and verification
- Application deadline
- February 1, 2027
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Friedrich-Alexander-Universität Erlangen-Nürnberg documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-15 · Editorial standards · Report an issue