Collaborative Research Centre (SFB 876) Resource-Constrained Data Analysis Project
Flagship DFG collaborative research center developing real-time machine learning algorithms optimized for low-power edge devices, embedded FPGA sensors, and ultra-fast cyber-physical networks.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Degree in Computer Science, Electrical Engineering, or Mathematics with 1.8 or better
- English language proficiency
- IELTS 6.5 or equivalent
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Strong coding ability in C++, Python, PyTorch, and experience with hardware accelerators
- Recommendation letters
- Two academic referee letters
How much will it cost? How much funding is available?
- Financial support / stipend
- €2,250 monthly research grant plus high-performance compute cluster access
- Application fee
- Zero fee
- Tuition / joining costs
- Funded by German Research Foundation (DFG)
Dates and verification
- Application deadline
- February 15, 2027
- Last source review
- 2026-10-15
Important verification note
Facts reflect official TU Dortmund University 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