OpenFieldCampus Skellefteå AI in Industrial Timber Scanning and Sorting Project
Applied computer vision research project deploying 3D convolutional neural networks to predict timber board mechanical strength from high-speed sawmill CT logs.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Completed master's in computer vision, robotics, or engineering physics
- English language proficiency
- English C1 proficiency
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Methodology outline on deep neural network segmentation of internal wood knot defects from CT scans
- Recommendation letters
- Campus Skellefteå research director endorsement
How much will it cost? How much funding is available?
- Financial support / stipend
- 85,000 SEK project grant and industrial X-ray computed tomography access
- Application fee
- 0 SEK
- Tuition / joining costs
- Supported by Vinnova Swedish Innovation Agency grants
Dates and verification
- Application deadline
- December 1, 2026 (Winter evaluation)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Campus Skellefteå 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