OpenFieldHLRS Exascale Software Engineering and AI Scaling Grant
Competitive grant awarded to graduate researchers scaling transformer-based AI foundation models across thousands of GPUs with reduced communication latency.
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 degree in Computer Science with focus on machine learning and high-performance computing.
- English language proficiency
- English C1.
- Standardized testing (GRE/GMAT)
- Not required.
- Thesis / Research statement
- CV, publication list, and code repository showcasing distributed training experience.
- Recommendation letters
- Faculty advisor recommendation.
How much will it cost? How much funding is available?
- Financial support / stipend
- Full funding covering doctoral stipend and travel allowances to SC and ISC conferences
- Application fee
- None
- Tuition / joining costs
- Tuition-free
Dates and verification
- Application deadline
- February 28, 2027
- Last source review
- 2026-10-15
Important verification note
Facts reflect official University of Stuttgart - High Performance Computing Center (HLRS) 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