Master Thesis AI-Driven Tolerance Sensitivity Analysis of Worm Gears
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Are you enthusiastic about the intersection of artificial intelligence and precision engineering? Then take this opportunity, as part of your Master's thesis, to develop a methodology for the tolerance analysis of worm gears. Here, you will actively shape the future of product development and contribute to the optimization of complex systems.
- During your thesis you will develop a parametric simulation model.
- Modeling uncertainties will be one of your core tasks to ensure the robustness of the analyses.
- You will automate the entire simulation workflow.
- Furthermore, you will independently conduct a global sensitivity analysis (UQ).
- Finally, you will build and train an AI-based surrogate model.
- Education: Master studies in the field of Engineering, Physics, Mathematics or comparable with good grades
- Experience and Knowledge: in MATLAB, Python or C++, FEM (Abaqus or Ansys)
- Personality and Working Practice: you excel at operating with a high degree of autonomy, effectively managing your own priorities and seeing tasks through to completion
- Work Routine: your on-site presence is required
- Languages: very good in English
Start: according to prior agreement
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, 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?
Sergey Solovyev (Functional Department)
+49 711 811 6932
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