Opportunity Description
Think of it as a CT Scan for the built world. Just as medical imaging uses X-rays to see inside the human body, GScan utilizes naturally occurring particles (muons) to penetrate meters of concrete and steel. This allows asset owners to make proactive, data-driven decisions to maintain safer and more sustainable infrastructure.
Why GScan?
At GScan, you will work on Physical AI.
- The Challenge: 3D Inverse Problem —reconstructing 3D volumes from sparse, high-entropy particle tracks. This presents a complex inverse problem that standardized machine learning frameworks are not designed to resolve.
- The Impact: Your models will directly prevent infrastructure failure and reduce CO2 emissions by extending the life of existing structures.
- The Growth: We are a mission-driven team of 50+, supported by over €18m in combined seed investments and grants.
✅ Your Mission as an AI Engineer <...