BMW Group
PhD Algorithmic Design and Development for Automotive Engineering Processes(m/w/x)
Full-timeWith HomeofficeExperienced
München
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BMBMW Group
PhD Efficient simulation workflows of thin-walled components with trimmed IGA solids(m/w/x)
München
Full-timeWith Home Office
Nejo AI Summary
Developing crash simulation workflows for thin-walled components and trimmed IGA solids, modeling damage and failure. FE methods, LS-DYNA, and business fluent German/English skills required. Flexible working hours, mobile working, comprehensive mentoring.
Requirements
- University degree in mechanical engineering, mathematics, computational mechanics, or comparable field
- Knowledge of programming languages, preferably Fortran and Python
- Knowledge of FE methods and LS-DYNA
- Business fluent German and English skills
- Valid residence or work permit for non-EU citizens
Tasks
- Gain insights into passive safety
- Develop methods for crash simulations and tests
- Model and simulate damage and failure in trimmed IGA solids
- Create efficient workflows for thin-walled structures
- Support process and method development
- Manage work packages independently
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Fortran
- Python
- LS-DYNA
Benefits
Flexible Working
- Flexible working hours
- Mobile working
Other Benefits
- Digital offers
- Apartment offers for students
Competitive Pay
- Attractive remuneration
Mentorship & Coaching
- Comprehensive mentoring
Learning & Development
- Professional development
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW 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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BMBMW Group
PhD Efficient simulation workflows of thin-walled components with trimmed IGA solids(m/w/x)
München
Full-timeWith Home Office
Nejo AI Summary
Developing crash simulation workflows for thin-walled components and trimmed IGA solids, modeling damage and failure. FE methods, LS-DYNA, and business fluent German/English skills required. Flexible working hours, mobile working, comprehensive mentoring.
Requirements
- University degree in mechanical engineering, mathematics, computational mechanics, or comparable field
- Knowledge of programming languages, preferably Fortran and Python
- Knowledge of FE methods and LS-DYNA
- Business fluent German and English skills
- Valid residence or work permit for non-EU citizens
Tasks
- Gain insights into passive safety
- Develop methods for crash simulations and tests
- Model and simulate damage and failure in trimmed IGA solids
- Create efficient workflows for thin-walled structures
- Support process and method development
- Manage work packages independently
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Fortran
- Python
- LS-DYNA
Benefits
Flexible Working
- Flexible working hours
- Mobile working
Other Benefits
- Digital offers
- Apartment offers for students
Competitive Pay
- Attractive remuneration
Mentorship & Coaching
- Comprehensive mentoring
Learning & Development
- Professional development
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW 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
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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