The Department of Mathematics and Mathematical Statistics is offering a postdoctoral scholarship within the project “Efficient computational methods for wave propagation”. The scholarship is full-time for two years with starting date 1 September 2025 or by agreement.

Project description
Wave propagation arises in a wide range of applications in science and engineering. Many realistic models in 3D are posed on very large domains with complex geometrical features. The mathematical model is a partial differential equation with complex geometry at boundaries and material interfaces. For efficient numerical simulation of wave propagation in such models, it is important to design computational techniques that are stable, accurate, and geometrically flexible. The central aim of this project is a novel computational method for wave propagation on complex geometry and its low rank approximation. We will use a novel and unconventional finite element method based on the Galerkin difference framework and resolve geometrical features by using the fictitious domain approach. In addition, we will also explore low rank properties in some realistic applications, e.g., in seismic modeling and shallow-water flows. This is a very active research area that involves modeling, mathematical analysis, and computer implementation. The appointed postdoc will have the opportunity to carry out research in collaboration with the computational mathematics group at Umeå University as well as external collaborators.

This postdoctoral scholarship is financed and administered by the Carl Tryggers Foundation (project number CTS 24:3420). The stipend is tax-free and will be 672 000 SEK for two years, meaning 336 000 SEK per year.

Umeå provides outstanding working and living conditions. This youthful city is situated beside a large river, surrounded by forests and lakes, and is near the sea. The area offers numerous opportunities for both indoor and outdoor activities.

For more information and application instructions, please visit:
https://umustipendie.varbi.com/what:job/jobID:798954/