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BMBMW Group

Master Thesis Precise Visual Localization in Map for Autonomous Driving(m/w/x)

München
Full-timeInternshipWith Home Office
AI/ML
Data Science

Researching learning-based methods for vehicle positioning in digital maps, advancing map product development. High programming and debugging proficiency with Python, PyTorch, OpenCV required. Conditional student apartments in Munich.

Requirements

  • Master's studies in computer science, AI, robotics, or related technical field
  • Knowledge of computer vision, deep learning, vision transformers, scene representations
  • High programming and debugging proficiency with Python, PyTorch, OpenCV
  • Prior project experience in computer vision or autonomous driving perception algorithms (plus)
  • Business-fluent English skills
  • German proficiency (plus)

Tasks

  • Support development and evaluation of learning-based visual localization methods
  • Review state-of-the-art visual localization techniques
  • Analyze impact of diverse map components and input modalities
  • Contribute research findings to map product advancement
  • Drive your project with regular mentor feedback

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent
  • GermanBusiness Fluent

Tools & Technologies

  • computer vision
  • deep learning
  • vision transformers
  • scene representations
  • Python
  • PyTorch
  • OpenCV

Benefits

Mentorship & Coaching

  • Comprehensive mentoring and onboarding

Learning & Development

  • Personal and professional development

Flexible Working

  • Flexible working hours
  • Mobile work

Other Benefits

  • Apartments for students (Munich, conditional)
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