Since its foundation in 2019, the Institute for the Protection of Terrestrial Infrastructures has been dedicated to the protection and security of critical infrastructures on Earth. We develop concepts, processes and technologies that strengthen and improve the resilience of organisations and systems. In doing so, we focus on people, technology and the system as a whole.
What to expect
For the generation of digital twins and virtual replicas, the modeling of physical laws is crucial. When dealing with airborne contaminant transport across urban areas, a finite volume approach can be chosen for numerical modeling. However, such models are often not sufficient for real-world 3D simulations in time-critical applications. Model order reduction (MOR) techniques are employed to develop a reduced-order model that provides fast yet accurate results.
The subject of this thesis is to develop a reduced model of a 3D flow simulation on a real-world domain that enables fast evaluations for different wind conditions.
Join our young team in the newly founded department "Simulation Methods for Digital Twins" at the Munich/Neubiberg site and look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development.
Your tasks
• evaluation of suitable MOR approaches for parametrized 3D flow simulations
• improve offline and online performance e.g. by identifying advantageous sampling strategies and goal-oriented extraction of information from the ROM
• implementation of chosen methods in a Python software framework
Your profile
• currently enrolled as a Master student or at the end of a Bachelor’s program in engineering, mathematics, computer science, physics or similar major
• basic programming skills (ideally Python)
• basic knowledge of German language is required
We look forward to getting to know you!
If you have any questions about this position (Vacancy-ID 1983) please contact:
Maximilian von Danwitz
Tel.: +49 2241 20148 70