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Internship in AI-supported validation tools for crash simulations (passive safety/ front restraint systems)(m/w/x)
Developing AI tools for automotive crash simulation validation, analyzing airbag deployment from videos. Basic knowledge of finite element methods and explicit crash simulations advantageous. Comprehensive mentoring program.
Requirements
- Studies in computer science, data science, computational engineering, mechanical engineering, physics, or comparable field
- Very good programming skills, especially Python
- Solid knowledge of machine learning and computer vision
- Basic knowledge of finite element methods and explicit crash simulations (e.g., LS-DYNA) (advantageous)
- Fluent English and good German skills (spoken and written)
- Teamwork and communication skills, structured, independent working style
Tasks
- Develop AI-supported tools for validating front restraint simulations.
- Design and implement AI methods for airbag deployment analysis from crash videos.
- Develop, train, and evaluate ML/CV models.
- Integrate algorithms into existing validation workflows and tools.
- Analyze and visualize results.
- Derive evaluation metrics.
- Develop ideas for new AI evaluation methods and tools.
- Implement new AI evaluation methods and tools as prototypes.
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- LS-DYNA
Benefits
Mentorship & Coaching
- Comprehensive mentoring
- Onboarding
Learning & Development
- Personal development
- Professional development
Flexible Working
- Work-life balance
- Flexible working hours
- Mobile working
Other Benefits
- Digital offers
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Internship in AI-supported validation tools for crash simulations (passive safety/ front restraint systems)(m/w/x)
Developing AI tools for automotive crash simulation validation, analyzing airbag deployment from videos. Basic knowledge of finite element methods and explicit crash simulations advantageous. Comprehensive mentoring program.
Requirements
- Studies in computer science, data science, computational engineering, mechanical engineering, physics, or comparable field
- Very good programming skills, especially Python
- Solid knowledge of machine learning and computer vision
- Basic knowledge of finite element methods and explicit crash simulations (e.g., LS-DYNA) (advantageous)
- Fluent English and good German skills (spoken and written)
- Teamwork and communication skills, structured, independent working style
Tasks
- Develop AI-supported tools for validating front restraint simulations.
- Design and implement AI methods for airbag deployment analysis from crash videos.
- Develop, train, and evaluate ML/CV models.
- Integrate algorithms into existing validation workflows and tools.
- Analyze and visualize results.
- Derive evaluation metrics.
- Develop ideas for new AI evaluation methods and tools.
- Implement new AI evaluation methods and tools as prototypes.
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- LS-DYNA
Benefits
Mentorship & Coaching
- Comprehensive mentoring
- Onboarding
Learning & Development
- Personal development
- Professional development
Flexible Working
- Work-life balance
- Flexible working hours
- Mobile working
Other Benefits
- Digital offers
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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