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FOFORVIA HELLA

Internship/thesis: World Models For Automotive Radar Signal Simulation(m/w/x)

Lippstadt
Full-timeInternshipOn-site
AI/ML
Data Science

Developing generative ML models for automotive radar signal simulation, comparing generated data with real measurements. Master's degree in Electrical Engineering or Computer Science, strong Python and PyTorch experience needed. Thesis completion opportunity at an international automotive supplier specializing in vehicle electronics.

Requirements

  • University enrollment during HELLA tenure
  • Final mandatory study requirement not yet started or completed
  • Master's degree in Electrical Engineering, Computer Science, or comparable field
  • Strong Python programming skills
  • Practical PyTorch experience
  • Experience with generative models (diffusion, flow matching, VAEs)
  • Experience with state-space or world models
  • Experience with 3D scene representations (NeRF, implicit fields, 3DGS)
  • Very good German or English language skills (C1 level)

Tasks

  • Analyze current approaches for synthetic radar signal generation
  • Develop generative ML models for radar data generation
  • Compare generated data with real radar measurements
  • Evaluate generated data for physical plausibility
  • Evaluate generated data for statistical properties
  • Write a comprehensive final report

Education

  • Currently in higher education

Languages

  • GermanBusiness Fluent
  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch
  • diffusion models
  • flow matching
  • VAEs
  • state-space models
  • world models
  • NeRF
  • implicit fields
  • 3DGS
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