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Internship AI-Driven Tolerance Sensitivity Analysis of Worm Gears

Internship AI-Driven Tolerance Sensitivity Analysis of Worm Gears

location71272 Renningen-Malmsheim, Deutschland
VeröffentlichtVeröffentlicht: Heute
Wissenschaft / Forschung
Praktikum
ohne Berufserfahrung

Job Description

Are you fascinated by the intersection of artificial intelligence and precision engineering? Here is your unique opportunity to contribute to the development of a methodology that will advance the tolerance analysis of worm gears. Apply your expertise to automate complex simulations and train AI models that have a direct impact on product development.

  • During your internship 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.

Qualifications

  • 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


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?
Sergey Solovyev (Functional Department)
+49 711 811 6932

Work #LikeABosch starts here: Apply now!

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Berufserfahrung

  • ohne Berufserfahrung