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PhD AI Driven Crash Simulation and Geometric Deep Learning(m/w/x)
Developing AI models for vehicle crash behavior using geometrical deep learning architectures. Experience with numerical simulations and research contributions a plus. Comprehensive mentoring and personal development.
Requirements
- University degree in engineering, computer science, mathematics, or equivalent
- AI model development experience with focus on geometrical deep learning
- Good understanding of CAx artifacts and related workflows
- Solid background in numerical simulations, particularly transient schemes
- Track record of research contributions (publications, conference talks, or equivalent) is a plus
- Business-fluent English
- German language skills are a plus
- Valid residence or work permit for non-EU citizens
Tasks
- Develop AI models for vehicle crash behavior
- Use modern geometrical AI architectures
- Integrate machine learning with physics-based simulations
- Enhance prediction accuracy of crashworthiness assessments
- Contribute to automated workflows for crash simulations
- Develop optimization methods for crash simulations
- Research AI models for CAx applications in crash design
- Focus on CAD and CAE tools in automotive safety
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Graph Neural Networks
- Geometric Transformers
- Transolver architectures
Benefits
Bonuses & Incentives
- Christmas bonus
Mentorship & Coaching
- Comprehensive mentoring
Other Benefits
- Onboarding
- Digital offers
- Apartment offers for students
- Other benefits
Learning & Development
- Personal development
- Professional development
Flexible Working
- Flexible working hours
- Mobile working
- Home
- Jobs in Germany
- PhD AI Driven Crash Simulation and Geometric Deep LearningPhD AI Driven Crash Simulation and Geometric Deep Learnin...
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PhD AI Driven Crash Simulation and Geometric Deep Learning(m/w/x)
Developing AI models for vehicle crash behavior using geometrical deep learning architectures. Experience with numerical simulations and research contributions a plus. Comprehensive mentoring and personal development.
Requirements
- University degree in engineering, computer science, mathematics, or equivalent
- AI model development experience with focus on geometrical deep learning
- Good understanding of CAx artifacts and related workflows
- Solid background in numerical simulations, particularly transient schemes
- Track record of research contributions (publications, conference talks, or equivalent) is a plus
- Business-fluent English
- German language skills are a plus
- Valid residence or work permit for non-EU citizens
Tasks
- Develop AI models for vehicle crash behavior
- Use modern geometrical AI architectures
- Integrate machine learning with physics-based simulations
- Enhance prediction accuracy of crashworthiness assessments
- Contribute to automated workflows for crash simulations
- Develop optimization methods for crash simulations
- Research AI models for CAx applications in crash design
- Focus on CAD and CAE tools in automotive safety
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Graph Neural Networks
- Geometric Transformers
- Transolver architectures
Benefits
Bonuses & Incentives
- Christmas bonus
Mentorship & Coaching
- Comprehensive mentoring
Other Benefits
- Onboarding
- Digital offers
- Apartment offers for students
- Other benefits
Learning & Development
- Personal development
- Professional development
Flexible Working
- Flexible working hours
- Mobile working
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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