PostDoc - Uncertainty-Aware Optimization in Inverse Problems for Next-Generation 3D Scanning

This 2-year Industrial Postdoctoral position, jointly funded by 3Shape and DTU Compute, focuses on advancing 3D scanning technologies by quantifying and propagating measurement uncertainty through large-scale optimization algorithms. The role involves developing mathematical frameworks and efficient software implementations to improve the reliability and accuracy of reconstructed 3D models in medical applications. Candidates will collaborate with researchers and engineers to integrate these uncertainty-aware methods into production systems while contributing to scientific publications and innovation activities.