Internship in Simulation and Model Reduction

Company Description

At grow platform, we work together to develop your potential to become a successful entrepreneur, just as our founder once did. As a wholly owned subsidiary with innovation hubs around the globe, grow platform finances and develops digital, innovative business models that have their origins in the Bosch Group. With international teams of experts, we work closely with our start-ups and offer support tailored to their individual needs.
Successful team cultures, the courage to take responsibility and progressive corporate management: The Home of Bosch Intrapreneurs

The grow platform GmbH is looking forward to your application!

Job Description

• During your internship, you perform CFD (Computational Fluid Dynamics) and FEA (Finite Element Analysis) simulations for turbomachinery and static equipment.
• You will develop and implement machine learning algorithms to speed up simulations and integrate these algorithms into existing simulation workflows.
• Furthermore, you automate the simulation workflow through scripting and code development.
• To understand and contribute to the creation of an automated workflow for creating virtual sensors and hybrid models that combine CFD as well as FEA simulations is also part of your work.
• Moreover, you develop and implement Reduced Order Models (ROMs) for turbomachinery components and systems.
• You will integrate ROMs into a digital twin framework for real-time simulation.
• Additionally, the analysis and validation of ROM performance against high-fidelity simulations and experimental data as well as the analysis and evaluation of the performance of the accelerated simulations is your responsibility.
• Finally, you create Functional Mockup Units (FMUs) of critical components to enable co-simulation.

Qualifications

• Education: studies in Mechanical Engineering, Computational Engineering, Computer Science, Physics or comparable
• Experience and Knowledge: strong understanding of Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA), know-how in Python programming, experience with machine learning libraries (e.g., TensorFlow, PyTorch), working knowledge of at least one numerical simulation software package, such as ANSYS, COMSOL or OpenFOAM
• Personality and Working Practice: you are team-minded as well as reliable and enjoy working in an interdisciplinary team
• Enthusiasm: interest in an agile start-up environment
• Languages: fluent in English,German is a plus

Additional Information

Start: according to prior agreement
Duration: 6 months

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Jagannath Rao Marati (Functional Department)
+49 711 811 46571
Josephine Haussmann (Functional Department)
+49 711 811 12757 

#LI-DNI

Summary

• Type: Full-time
• Function: Other