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BOBosch Group

Master Thesis Deep Learning for Multi-Channel Vision in Product Manufacturing(m/w/x)

Renningen
Full-timeInternshipWith Home Office
AI/ML
Data Science

Developing novel anomaly detection models for industrial vision systems, focusing on product quality assessment. Very good programming skills in Python and PyTorch/JAX required. Research focus at global technology provider.

Requirements

  • Advanced studies in Computer Science, Machine Learning, Artificial Intelligence or comparable
  • Excellent machine-learning fundamentals
  • Very good programming skills in Python
  • Very good programming skills in one deep learning framework (e.g., PyTorch or JAX)
  • Structured and analytical approach to complex tasks
  • High motivation to learn
  • Independent work on challenging topics
  • Clear and understandable communication of results
  • University enrollment for thesis

Tasks

  • Develop advanced anomaly detection methods for multi-channel vision systems.
  • Explore cutting-edge anomaly detection approaches.
  • Explore cutting-edge multi-channel image processing approaches.
  • Develop a novel, generalizable model for quality assessment.
  • Implement your approach.
  • Train your approach using real-world production data.
  • Evaluate your approach using real-world production data.
  • Collaborate with research, development, and production experts.
  • Regularly present your results.

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch
  • JAX
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