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BMBMW Group

Intern Vehicle Development Occupant Safety(m/w/x)

München
Full-timeInternshipWith Home Office
AI/ML

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

  • EnglishBusiness Fluent
  • GermanBasic

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
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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