Doktorand (d/m/w) Im Bereich Ki-basierte Inspektionssysteme
ATR (Airbus/Leonardo)
Stade, Germany
Hybrid (flexible working arrangements available)
Machine learning or deep learning experience
Python programming proficiency
Pytorch or tensorflow framework knowledge
Airbus is seeking a PhD candidate (d/m/w) to work on the methodological development of intelligent, data-driven inspection systems in aerospace manufacturing, specifically focusing on certifiable AI applications. The position offers a collaborative and innovative research environment at their Stade location, with opportunities for personal development and a strong work-life balance
Job Summary
This role involves developing intelligent, data-driven inspection procedures for aircraft component manufacturing in cooperation with Helmut-Schmidt-University.
Candidates will analyze existing methods for the certification of AI applications and validate models using real-world production process data.
The position offers a 35-hour work week with flexible hours, mobile working options, and participation in an international team environment.
Matching Summary
Match Score: 85
Airbus is seeking a PhD candidate (d/m/w) to work on the methodological development of intelligent, data-driven inspection systems in aerospace manufacturing, specifically focusing on certifiable AI applications. The position offers a collaborative and innovative research environment at their Stade location, with opportunities for personal development and a strong work-life balance.
Skills & Requirements
Must-have
Machine Learning or Deep Learning experience
Python programming proficiency
PyTorch or TensorFlow framework knowledge
Theoretical analysis of dynamic systems
German and English language fluency
Nice-to-have
Experience in system identification
Interest in certification of AI applications
Collaboration with university research partners
Willingness to publish scientific papers
Key Requirements
PhD enrollment or pursuit in Aerospace/Engineering