Simulation and Model Reduction Intern
vor 1 Monat
We are seeking a highly motivated and skilled intern to join our team and contribute to the development of cutting-edge simulation and model reduction technologies.
Key Responsibilities- Perform CFD and FEA simulations for turbomachinery and static equipment using industry-leading software packages.
- Develop and implement machine learning algorithms to speed up simulations and integrate them into existing workflows.
- Automate simulation workflows through scripting and code development.
- Contribute to the creation of an automated workflow for creating virtual sensors and hybrid models that combine CFD and FEA simulations.
- Develop and implement Reduced Order Models (ROMs) for turbomachinery components and systems.
- Integrate ROMs into a digital twin framework for real-time simulation.
- Analyze and validate ROM performance against high-fidelity simulations and experimental data.
- Create Functional Mockup Units (FMUs) of critical components to enable co-simulation.
- Studies in Mechanical Engineering, Computational Engineering, Computer Science, Physics, or comparable.
- Strong understanding of CFD and FEA, know-how in Python programming, experience with machine learning libraries (TensorFlow, PyTorch), and working knowledge of at least one numerical simulation software package (ANSYS, COMSOL, OpenFOAM).
- Team-minded, reliable, and enjoy working in an interdisciplinary team.
- Interest in an agile start-up environment.
- Fluent in English, German is a plus.
This internship is open to students enrolled at a university. Please attach your CV, transcript of records, enrollment certificate, examination regulations, and if indicated, a valid work and residence permit.
We value diversity and inclusion and welcome all applications, regardless of gender, age, disability, religion, ethnic origin, or sexual identity.
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