Bachelor and Master Theses

Theoretical plasma physics for magnetic confinement fusion
- Plasma theory and modeling
- Simulation and validation on experimental data
- Collaboration with major international labs
Programming and data science
- Bayesian methods in data analysis
- Matlab and Python in research, teaching, and application (W. Kernbichler)
- Software engineering and testing of high-performance codes (P. Lainer)
Cross-disciplinary topics
- Theory, simulation, and measurements in classical mechanics, electrodynamics, and acoustics
- Design and construction of a tabletop stellarator (G. Harrer)
- Cooperation with engineering faculties and industry

Autodifferentiation, application in stellarator optimization, and extensions towards branching codes
Nested sampling in inverse problems of magnetic confinement fusion e.g. with https://johannesbuchner.github.io/UltraNest/index.html

Alexandra Geishüttner: Confinement and performance scalings in small and large stellarators

Michael Hadwiger: Leveraging gradient information in Bayesian global optimization
Lukas Drescher: Finite element simulation and uncertainty quantification for magnetic field coils in fusion reactors
Maximilian Mandlez: Automatic detection of transitions between plasma states in perturbed tokamaks
Manuel Brandstätter: Numerical identification of complex roots from plasma dispersion equations
Daniele Corrias: Optimization of alpha particle losses in stellarators
Robert Babin (at Max-Planck-Institute for Plasma Physics): Reconstruction and uncertainty quantification for magnetohydrodynamic equilibria
Peter Zauner (at AEE INTEC): Heat transport in solar thermal plants
Martin Hasenburger (at Infineon Technologies): FEM simulations of fluid mechanics

Markus Baumgartner-Steinleitner (Master, 2023): Fusion-electric rocket drives
Michael Reichelt (Master, 2023): Advanced finite element methods for perturbed magnetohydrodynamic equilibria