Tasks for the PhD candidate will include futher development of coupling schemes and solvers for multiphase flow and deformation to better simulate the coupled processes. Approaches include splitting, domain decomposition and linearization strategies to derive local problems that are amenable to standard Newton- and multigrid methods. The candidate will also contribute to the interdisciplinary goals of the project and take part in interdisciplinary collaboration
Applicants must hold a master's degree or equivalent education in applied and computational mathematics or scientific computing, or alternatively within computational physics or computational geoscience. Master students can apply provided they complete their final master exam before 31 October 2022. It is a condition of employment that the master's degree has been awarded; Education at master’s level and strong expertise in partial differential equations, numerical analysis and related software development is a requirement; Good programming skills are required; Expertise in methods for preconditioning and linear and/or non-linear solvers is an advantage; Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills; Applicants must be proficient in both written and oral English
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