Doktorand (d/m/w) Im Bereich Ki-basierte Inspektionssysteme

Airbus Operations

Stade, Germany
Not specified; not specified; benefits: 35-hour wo...
Hybrid (flexible on-site and remote working)
Machine learning or deep learning experience
Python programming skills
Pytorch or tensorflow knowledge
Airbus Operations is seeking a PhD candidate in the field of AI-based inspection systems within the aerospace sector, focusing on methodical development of intelligent, data-driven inspection processes. The position offers an innovative research environment at the Stade location, with opportunities to engage in significant projects and flexible working arrangements

Job Summary

  • The role involves developing intelligent, data-driven inspection procedures for aircraft component manufacturing.
  • Candidates will collaborate with Helmut-Schmidt-University on research regarding continuous neural modeling of dynamic systems.
  • The position offers a 35-hour work week with flexible working arrangements and an international team environment.

Matching Summary

Match Score: 85

Airbus Operations is seeking a PhD candidate in the field of AI-based inspection systems within the aerospace sector, focusing on methodical development of intelligent, data-driven inspection processes. The position offers an innovative research environment at the Stade location, with opportunities to engage in significant projects and flexible working arrangements.

Salary

Not specified; Not specified; Benefits: 35-hour work week, mobile working, team integration

Skills & Requirements

Must-have

  • Machine Learning or Deep Learning experience
  • Python programming skills
  • PyTorch or TensorFlow knowledge

Nice-to-have

  • Interest in dynamic system analysis
  • Experience with system identification
  • Willingness to publish scientific papers

Key Requirements

  • PhD enrollment or pursuit
  • Fluent German and English language skills
  • Academic transcripts and enrollment certificate

Work Rights

Not specified

Tailored Resume

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