We supervise both Bachelor's and Master's theses in numerical mathematics and math didactics. Current topics are:

• Multi-Scale Modeling for Chemical Reactions using DeepONet

• Structure-Preserving Operator Learning for the Landau equation

• Monte Carlo Adjoints

• Pseudo-time stepping

• From low-rank to hero? Optimization of radiotherapeutic plans using dynamic low-rank algorithms for dose calculation

• Exploring the use of teaching materials from the Computational and Mathematical Modeling Program (CAMMP)

If you have your own ideas, please contact us directly.

We are looking to strengthen our team and have currently advertised a PhD position. You can find more information here.