PhD Researcher in Computational Mathematics (Remote)

Job summary

This position offers a 3-year PhD opportunity focused on analyzing the impact of data errors in iterative solvers for inverse problems, such as computed tomography and image deblurring. The research is part of a project aimed at understanding data error propagation in computational uncertainty quantification.

Qualifications

• A two-year master's degree (120 ECTS points) or equivalent in applied and/or computational mathematics.

Responsibilities

• Analyze the influence of data errors in iterative regularization methods like CGLS and GMRES.
• Collaborate with postdoctoral researchers in the Section for Scientific Computing.
• Utilize and enhance the software CUQIpy, testing results on data from dental scanners and fusion tomography.
• Complete 30 ECTS of coursework on relevant topics.
• Teach and supervise students at various academic levels.

Skills

• Strong analytical skills in applied and computational mathematics.
• Experience with iterative solvers and uncertainty quantification.
• Proficiency in programming and software development related to computational mathematics.

Education

• A master's degree in applied and/or computational mathematics is required.

Tools

• Familiarity with software development tools, particularly CUQIpy, and programming languages relevant to computational mathematics.