The Chair of Numerical Mathematics at TUM CIT (Professor Barbara Wohlmuth) is offering a Doctoral Researcher or Postdoctoral Position in Numerical Analysis, including teaching activities (5 SWS), with a strong connection to PDEs (numerics / analysis / modeling) (100%, TV-L).

The position is a household position. It offers the opportunity to pursue project-independent research in one of the group’s numerous research areas, with a focus on Applied Mathematics, Numerical Simulation, and various interdisciplinary projects.

The position is initially limited to two years, with the possibility of extension. The  position is fulltime (100%, 40 h per week).
Planned start date: 1 July 2026

Position and Research Overview:

The group’s interdisciplinary focus includes not only classical topics in numerical analysis, such as the analysis of nonlinear PDEs or the development of new solver- or coupling-methods including their convergence analysis, but also modeling and simulation aspects across a wide range of fields - from biomechanics and geophysics to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dimensional problems, classical (mainly finite elements, FEM) as well as alternative discretization methods (e.g. Lattice Boltzmann, LBM), and HPC.

A selection of possible research areas can be found on our website: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/

Responsibilities:

1. Development and analysis of new math. (PDE-)models for application-specific phenomena from, e.g. the natural and engineering sciences
2. Strong interdisciplinary exchange with the applied sciences, e.g. for model validation or extensions
3. Math. derivation, analysis, and comparison of numerical methods and simulation approaches for PDEs
4. Formal proofs, e.g. for convergence, existence, and uniqueness of solutions
5. Fast prototyping of new ideas in individual code as well as implementation into already existing frameworks, with a focus on efficiency
6. Design and realization of relevant simulation pipelines: from real-world data to math. and (e.g. clinically) applicable results
7. Publication of results in scientific outlets (journals, conference papers, lecture contributions, etc.)
8. Active participation in various teaching activities and academic self-governance, e.g. through organization of lectures, conduction of exercise-groups and seminars to the co-supervision of Bachelor’s and Master’s theses, all in German and English language

Requirements:

1. Master’s or PhD degree with above-average results in Applied Mathematics (analysis, numerics, modeling) or in a comparable program with a strong math. focus and knowledge in functional analysis and the theory and numerics of PDEs.
2. Strong skills in math. modeling with PDEs.
3. Advanced knowledge in numerics and simulation, particularly for PDEs and especially with FEM.
4. Strong programming skills and experience in e.g. C/C++, FORTRAN, Python, Julia or MATLAB
5. A team-oriented, conscientious, and organized work approach
6. Enthusiasm, both for interdisciplinary projects as well as diverse teaching formats
7. Optional (helpful for certain topics): experience with LBM and their implementation, HPC experience, methods of Uncertainty Quantification

What we offer:

1. A dedicated, interdisciplanary international team, with collaboration opportunities with international partners
2. A young and motivated research environment at an internationally renowned university with strong connections to leading research institutes and industry partners
3. A diverse range of activities in exciting, forward-looking, and varied research fields and projects, with numerous development opportunities
4. Modern hardware and infrastructure at the workplace, from compute and GPU servers to supercomputers
5. Opportunity for a doctoral degree (Dr. rer. nat.) in one of the group’s diverse research areas
6. Active inclusion and gain of experience within the departments fields of teaching, e.g. from elementary up to specialized Numerics-lectures.
7. Salary according to the public service pay scale (TV-L E13), depending on academic experience, tax class etc.