OpenFieldFHNW Institute for 4D Technologies Applied Artificial Intelligence Fellowship
Applied technology fellowship supporting talented computer scientists developing computer vision algorithms, real-time 3D spatial reconstruction, and digital twin models at Campus Brugg-Windisch.
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, Data Science, or Computer Vision with minimum grade 5.2/6.0.
- English language proficiency
- IELTS Academic 6.5 or TOEFL iBT 90.
- Standardized testing (GRE/GMAT)
- Not applicable for Swiss technological fellowships.
- Thesis / Research statement
- Scholarly publication portfolio and 2,500-word proposal addressing 3D reconstruction, point cloud AI, or spatial computing.
- Recommendation letters
- Two academic reference letters from computer vision or machine learning professors.
How much will it cost? How much funding is available?
- Financial support / stipend
- Annual fellowship grant of CHF 8,000 and dedicated research workstation at Campus Brugg-Windisch
- Application fee
- Zero fellowship application fee
- Tuition / joining costs
- Full fellowship appointment; zero tuition fees
Dates and verification
- Application deadline
- 15 February 2027 (Spring Fellowship Selection)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official FHNW University of Applied Sciences and Arts Northwestern Switzerland 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