Bosch Group
Internship AI-Driven Tolerance Sensitivity Analysis of Worm Gears(m/w/x)
Full-timeInternshipOn-site
Renningen
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BOBosch Group
Master Thesis AI-Driven Tolerance Sensitivity Analysis of Worm Gears(m/w/x)
Renningen
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing AI-driven tolerance sensitivity analysis for worm gears. Parametric modeling and workflow automation required. Enrollment at university, high autonomy expected.
Requirements
- Master's degree in Engineering, Physics, Mathematics or comparable
- High degree of autonomy and self-management
- Enrollment at university
Tasks
- Develop methodology for tolerance analysis of worm gears
- Create parametric simulation model
- Model uncertainties for robust analysis
- Automate simulation workflow
- Conduct global sensitivity analysis
- Build and train AI-based surrogate model
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- MATLAB
- Python
- C++
- FEM
- Abaqus
- Ansys
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BOBosch Group
Master Thesis AI-Driven Tolerance Sensitivity Analysis of Worm Gears(m/w/x)
Renningen
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing AI-driven tolerance sensitivity analysis for worm gears. Parametric modeling and workflow automation required. Enrollment at university, high autonomy expected.
Requirements
- Master's degree in Engineering, Physics, Mathematics or comparable
- High degree of autonomy and self-management
- Enrollment at university
Tasks
- Develop methodology for tolerance analysis of worm gears
- Create parametric simulation model
- Model uncertainties for robust analysis
- Automate simulation workflow
- Conduct global sensitivity analysis
- Build and train AI-based surrogate model
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- MATLAB
- Python
- C++
- FEM
- Abaqus
- Ansys
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bosch Group
Industry
Engineering
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Group
Internship AI-Driven Tolerance Sensitivity Analysis of Worm Gears(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Data-Efficient Hybrid Machine Learning for Robust Vibration System Prediction(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Thesis Using Geometrical Deep Learning for Simulation(m/w/x)
Full-timeOn-siteJuniorLeinfelden-Echterdingen - Bosch Group
Master Thesis Optimized Design of Robotic Assembly Systems(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
Full-timeInternshipOn-siteRenningen