Thèse Cifre - Identification Fréquentielle Pour La Physique Du Vol (h/f)
AIRBUS DS GEO SA
France
Automatic control systems expertise
Signal processing skills
Python or matlab programming
This thesis aims to establish the relevance of a frequency-based identification approach using simultaneous multi-axis inputs for Airbus transport aircraft
Job Summary
This thesis aims to establish the relevance of a frequency-based identification approach using simultaneous multi-axis inputs for Airbus transport aircraft.
The role involves optimizing excitation protocols, validating model robustness, and evaluating real-time identification capabilities for adaptive control laws.
The position is a 36-month partnership with ONERA's Information Processing and Systems department, offering opportunities for academic dissemination.
Matching Summary
This thesis aims to establish the relevance of a frequency-based identification approach using simultaneous multi-axis inputs for Airbus transport aircraft.
Skills & Requirements
Must-have
Automatic control systems expertise
Signal processing skills
Python or Matlab programming
Master's degree in Automatic Control
System identification methodology
Nice-to-have
Flight mechanics knowledge
Aerodynamics background
Real-time system adaptation
Strong communication skills
Autonomous work style
Key Requirements
Master 2 degree in Automatic Control or related field