PhD scholarship in Error Propagation and Implicit Priors in Computational UQ - DTU Compute

Tasks

• Analyze influence of data errors in iterative solvers
• Complete coursework
• Develop error propagation understanding in iterative regularization
• Interpret iterative regularization with computational uncertainty quantification
• Supervise student projects
• Teach students
• Test methods on medical and fusion tomography data
• Utilize and expand CUQIpy

Perks/Benefits

• Coursework
• International collaboration
• Project supervision
• Teaching experience

Skills/Tech-stack

Academic Supervision | CGLS | CUQIpy | Computational Uncertainty Quantification | Computed Tomography | Data Uncertainty | GMRES | Image Deblurring | Inverse problems | Iterative Regularization | Iterative solvers | Numerical Methods | Teaching | Uncertainty Quantification