Theses
At STFS we offer a wide range of student theses (Bachelor/Master) and student projects (ADP/ARP). The topics are usually closely related to our current research topics, for example:
- Hydrogen combustion
- Data-driven modeling of combustion phenomena by means of machine learning
- Metal combustion (Clean Circles project, Clean Circles Website)
- Sustainable fuels, e.g. produced by Power-to-X processes
- Flame-wall interactions / flame retardants (SFB 150)
- Biomass combustion (SFB 129)
- Reduction of pollutant emissions / soot modeling
- Aero Engines and Thermoacoustics
If you are looking for a student thesis at STFS, you can directly contact the supervisors of the topics listed below, or you can send an email to lehre@stfs.tu-… on your own initiative with an overview of the courses you have studied, as well as mentioning your previous experience and interests – it is always possible to derive research questions from our current research topics and adapt them to the profile of suitable applicants.
Theses available
Investigation of the mixture formation of oxygenated fuels (ethanol / methanol in engine sprays)
HiWi for simulations and data analysis
2026/01/15
Research Assistant
At the Chair of Simulation of Reactive Thermo-Fluid Systems, we conduct research on the modelling and numerical simulation of chemically reactive flows. A current research focus is the investigation of methanol sprays, which play a key role in the decarbonization of the maritime industry. Alongside ammonia, methanol is considered a promising alternative energy carrier for maritime applications. Due to the specific properties of methanol, particular challenges arise with respect to spray formation, evaporation, and mixture preparation, which in turn have a significant impact on combustion processes and emissions.
Within the scope of this student research assistant position, we are seeking support for the simulation and analysis of systems ranging from single droplets to full spray simulations. Initially, the focus will be on becoming familiar with the existing simulation environment based on OpenFOAM, as well as with Python-based post-processing workflows. Building on this, independent development and extension of post-processing routines are expected in order to efficiently analyze and evaluate simulation results. If you have any questions or are interested, feel free to get in touch.
Supervisor: Viktoria Huschka , M.Sc.
