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Intern Vehicle Development Occupant Safety(m/w/x)
Supporting crash simulations and developing neural networks for vehicle occupant safety at automotive R&D. Experience in Finite Element Analysis and machine learning techniques required. Structured mentoring, flexible hours, mobile work.
Requirements
- Studies in mechanical engineering, mathematical engineering, computer science, or similar field
- Good skills in machine learning techniques and numerical optimization
- Experience in Finite Element Analysis and computational mechanics, ideally with LS-DYNA or similar simulation software
- Analytical mindset and interest in occupant safety
- Fluent English skills, good German is a plus
Tasks
- Support running crash simulations
- Compare Human Body Models and crash dummies
- Define objective functions based on injury metrics
- Contribute to developing neural networks for restraint system setup
- Assist in comparing neural network-based restraint systems to conventional strategies
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- LS-DYNA
Benefits
Competitive Pay
- Attractive and fair compensation
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Other Benefits
- Personal and professional development
- Apartments for students
Flexible Working
- Flexible working hours
- Mobile work
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Intern Vehicle Development Occupant Safety(m/w/x)
Supporting crash simulations and developing neural networks for vehicle occupant safety at automotive R&D. Experience in Finite Element Analysis and machine learning techniques required. Structured mentoring, flexible hours, mobile work.
Requirements
- Studies in mechanical engineering, mathematical engineering, computer science, or similar field
- Good skills in machine learning techniques and numerical optimization
- Experience in Finite Element Analysis and computational mechanics, ideally with LS-DYNA or similar simulation software
- Analytical mindset and interest in occupant safety
- Fluent English skills, good German is a plus
Tasks
- Support running crash simulations
- Compare Human Body Models and crash dummies
- Define objective functions based on injury metrics
- Contribute to developing neural networks for restraint system setup
- Assist in comparing neural network-based restraint systems to conventional strategies
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- LS-DYNA
Benefits
Competitive Pay
- Attractive and fair compensation
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Other Benefits
- Personal and professional development
- Apartments for students
Flexible Working
- Flexible working hours
- Mobile work
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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