Digital Humanities & Cultural Heritage Data Science Fellowship

Postgraduate fellowship utilizing computer vision, OCR/HTR machine learning models, and semantic linked data frameworks across historical European manuscripts.

Official university details ↗Research checked, not sponsored

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 Data Science, Computer Science, or Digital Humanities
English language proficiency: IELTS 7.0 or TOEFL 95
Standardized testing (GRE/GMAT): Exempt
Thesis / Research statement: Project proposal focusing on SLUB open digital collections
Recommendation letters: Two letters of recommendation from academic mentors

How much will it cost? How much funding is available?

Financial support / stipend: €2,200/month stipend plus high-resolution digitization studio access for 6 to 12 months
Application fee: €0
Tuition / joining costs: €0 (Funded residency)

Dates and verification

Application deadline: January 31, 2027
Last source review: 2026-10-16

Official university details ↗SLUB Dresden guide ↗Mentorship ↗Ask us — free ↗

Important verification note

Facts reflect official SLUB Dresden - Saxon State and University Library documentation reviewed 2026-10-16. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.

Reviewed 2026-10-16 · Editorial standards · Report an issue