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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.
Anforderungen
- 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
Aufgaben
- 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.
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- LS-DYNA
Benefits
Mentoring & Coaching
- Comprehensive mentoring
- Onboarding
Weiterbildungsangebote
- Personal development
- Professional development
Flexibles Arbeiten
- Work-life balance
- Flexible working hours
- Mobile working
Sonstige Vorteile
- 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.
Anforderungen
- 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
Aufgaben
- 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.
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- LS-DYNA
Benefits
Mentoring & Coaching
- Comprehensive mentoring
- Onboarding
Weiterbildungsangebote
- Personal development
- Professional development
Flexibles Arbeiten
- Work-life balance
- Flexible working hours
- Mobile working
Sonstige Vorteile
- Digital offers
Über das Unternehmen
BMW Group
Branche
Automotive
Beschreibung
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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