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Stage 2027 Optimisation des performances au décollage : analyse des bases de données d'obstacles et des pratiques opérationnelles des compagnies aériennes à partir de données en exploitation (F/H)

Toulouse Area, FR💼 Full-time🗓 2026-09-29 → 2026-09-30

Core

Analyze obstacle databases and in-service airline operational data to optimize aircraft take-off performance and quantify hidden operational margins.

Role type

Student intern, aircraft performance engineer (data analysis)

Builds

Operational performance optimization recommendations and automated analysis scripts

Domain

Aviation / Aerospace

Required skills

Python programming, data analysis, statistical methods, take-off performance knowledge, flight operations knowledge

Preferred skills

Advanced English, intermediate French

Technologies

Python

Responsibilities

Analyze and compare obstacle databases to estimate impact on calculations; Leverage in-service data to analyze discrepancies between theory and operational reality; Quantify financial loss related to current practices; Develop Python scripts to automate the methodology

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