Your position
You will take a leading role in:
1. Developing and operating the robotic multi-modal capture system (SfM-MVS, eRTI, and Photometric Stereo).
2. Designing workflows for automated photogrammetric acquisition and reconstruction tailored to GLAM (Galleries, Libraries, Archives, Museums) contexts.
3. Contributing to data registration and deconvolution, metadata acquisition, and high-fidelity model evaluation.
4. Collaborating with heritage partners (e.g., Swiss National Museum, SIK-ISEA) and preparing evaluation reports and a white paper for applied use.
Your profile
5. PhD in Digital Humanities, Imaging Science, Computer Vision, or a related field.
6. Proven experience in photogrammetry, image-based 3D reconstruction, and cultural heritage digitization.
7. Solid programming skills (e.g., Python, C++) and familiarity with photogrammetry software (e.g., COLMAP, Agisoft, RealityCapture).
8. Interest in robotics-based imaging systems and working across disciplines with engineers and conservators.
9. A background or interest in conservation science is advantageous.