OpenFieldCooperative Doctoral Research Fellowship (Kooperative Promotion) in Industrial AI
Four-year cooperative doctoral appointment between DHBW and the University of Stuttgart developing physics-informed neural networks for predictive maintenance in industrial automation.
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 or electrical engineering with grade 1.5 or better
- English language proficiency
- Fluent technical English (C1 equivalent)
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Detailed 10-page research exposé on reinforcement learning for robotic assembly lines
- Recommendation letters
- Endorsement from both DHBW professor and partner university doctoral advisor
How much will it cost? How much funding is available?
- Financial support / stipend
- Fully salaried: TV-L E13 (approx. EUR 52,000/year gross) or corporate research contract
- Application fee
- EUR 0
- Tuition / joining costs
- EUR 0 (tuition-free doctoral education)
Dates and verification
- Application deadline
- March 31, 2027 (Cooperative university intake)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Baden-Wuerttemberg Cooperative State 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