Applied Computer Vision for Automated Quality Inspection

Four-month research internship training deep learning models (YOLO, Mask R-CNN) on industrial optical camera feeds to detect surface micro-defects in high-speed manufacturing lines.

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: Undergraduate degree in Computer Science or Mathematics.
English language proficiency: English B2.
Standardized testing (GRE/GMAT): Not required.
Thesis / Research statement: CV, GitHub link demonstrating PyTorch/OpenCV experience.
Recommendation letters: One faculty endorsement.

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

Financial support / stipend: €1,350 monthly stipend
Application fee: €0
Tuition / joining costs: €0

Dates and verification

Application deadline: April 1, 2027
Last source review: 2026-10-15

Official university details ↗EDIH Thuringia guide ↗Mentorship ↗Ask us — free ↗

Important verification note

Facts reflect official EDIH Thuringia - European Digital Innovation Hub Consortium 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