Phd - Cross-domain Hyperspectral Anomaly Detection For Manufacturing (f/m/div.)

Bosch Rexroth Pty. Ltd.

Renningen, Germany
On-site
Master's degree in computer science or related field
Solid experience with deep learning methods
Strong python programming skills
Bosch Rexroth is seeking a PhD candidate for a role focused on developing advanced AI systems for hyperspectral anomaly detection in manufacturing. The position emphasizes a blend of fundamental research and practical applications, aiming to enhance quality assurance processes within the industry

Job Summary

  • This role involves developing advanced machine learning methods for hyperspectral anomaly detection to ensure precision in industrial manufacturing.
  • The successful candidate will publish research results in renowned scientific journals and present them at international conferences.
  • You will work closely with internal and external partners to transfer cutting-edge research into practical industrial applications.

Matching Summary

Match Score: 85

Bosch Rexroth is seeking a PhD candidate for a role focused on developing advanced AI systems for hyperspectral anomaly detection in manufacturing. The position emphasizes a blend of fundamental research and practical applications, aiming to enhance quality assurance processes within the industry.

Skills & Requirements

Must-have

  • Master's degree in computer science or related field
  • Solid experience with deep learning methods
  • Strong Python programming skills
  • Experience with PyTorch or JAX frameworks
  • Background in computer vision and probabilistic modeling

Nice-to-have

  • Interest in digital signal processing and optics
  • Knowledge of materials science and photonics
  • German language skills
  • High intrinsic motivation for research
  • Ability to collaborate with industrial partners

Key Requirements

  • Completed Master's degree with excellent academic performance
  • Very good English skills required
  • German is a plus

Work Rights

Not specified

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