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
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
Education
Roles
Regions
Countries
States
Related jobs
-
PhD scholarship in Probabilistic Machine Learning for Decision-Making under Uncertainty - DTU Compute DKK 433K-433KActive Inference | Decision Making | Deep learning | High Performance | High-Performance ComputingAcademic freedom | Fully funded scholarship | International environment | Work-life balanceEntry-level Full TimeKgs. Lyngby, Denmark7d ago
-
C++ | Condition-Based Monitoring | Continual Learning | Cybersecurity | Electrical signal processingAcademic freedom | Collaboration opportunities | Collegial respect | International research environmentNone Full TimeKgs. Lyngby, Denmark1mo ago