OpenFieldMunich Data Science Institute (MDSI) Graduate Research Placements
Cutting-edge collaborative research placements inside TUM MDSI, investigating foundational AI architectures, biomedical data science, mathematical optimization, and quantum algorithm simulations.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Master's or advanced Bachelor's student in Data Science, Informatics, or computational biology with outstanding marks.
- English language proficiency
- Technical English communication fluency.
- Standardized testing (GRE/GMAT)
- Not required.
- Thesis / Research statement
- Demonstrated expertise in deep learning frameworks (PyTorch/JAX), mathematical statistics, or high-performance computing.
- Recommendation letters
- CV, GitHub code portfolio, and recommendation from an academic advisor.
How much will it cost? How much funding is available?
- Financial support / stipend
- Funded research projects supported by the German Research Foundation (DFG) and Bavarian High-Tech Agenda
- Application fee
- Free application directly to affiliated MDSI labs
- Tuition / joining costs
- Zero tuition; paid scientific assistantship or funded fellowship.
Dates and verification
- Application deadline
- March 31, 2027 for multidisciplinary laboratory projects
- Last source review
- 2026-10-14
Important verification note
Facts reflect official Technical University of Munich documentation reviewed 2026-10-14. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-14 · Editorial standards · Report an issue