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CACARIAD SE

Master Thesis - Scenario Generation for Autonomous Driving with Generative Models(m/w/x)

Ingolstadt, Berlin, München
Full-timeOn-siteSenior

Literature research and evaluation of generative models for scenario generation within a PhD-led autonomous driving project. Proficiency in Python and deep learning frameworks required. Remote work by agreement, application assistance for disability.

Requirements

  • Student in computer science, engineering, or similar
  • Experience in machine learning and Generative Models
  • Reinforcement learning or research project implementation (nice to have)
  • Experience with simulation frameworks and open datasets (beneficial)
  • Proficiency in Python and deep learning frameworks
  • Structured, independent work, commitment, and flexibility
  • Fluency in written and spoken English

Tasks

  • Support a PhD student with generative models for autonomous driving
  • Summarize research literature related to your project
  • Research state-of-the-art scenario generation methods
  • Evaluate existing AV planners and simulation frameworks
  • Analyze large driving datasets
  • Develop algorithmic ideas for generative simulation and policies
  • Address research challenges in closed-loop simulation
  • Create novel scenario generation solutions
  • Conduct comprehensive experiments on internal and public datasets

Education

Currently in higher education

Languages

EnglishBusiness Fluent

Tools & Technologies

PythonPyTorchscikit-learnPytorch-GeometricDiffusion modelsFlow Matching

Benefits

Flexible Working

  • Remote working by agreement

Other Benefits

  • Application assistance for disability
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