Performance modelling of fuel system components based on test and operational data F-H

Descrizione del lavoro:

Parlons de votre future mission

Within the Division Fuel & Fluid Systems of Safran Aerosystems, based in Roche la Molière (France), and reporting to the Technical Department within the RAMS team (Reliability, Availability, Maintainability & Safety), you will play a key role in the development of Health Monitoring capabilities related to fuel management and fuel tank safety systems. team.

During the lifecycle of SAO equipment, a significant amount of operational data is generated and stored on our network, but remains underutilized. This data may come from development tests (qualification, endurance, aging), production or repair station tests, and occasionally from in-flight data recorded on the aircraft. The objective of this internship is, for specific use cases, to build a digital representation of equipment performance in order to map its behavior under nominal conditions, and, where possible, in abnormal conditions.

This internship offers the opportunity to work on innovative digitalisation topics in the aerospace sector, in close collaboration with technical experts within a multidisciplinary

The activities to be carried out as part of this position are as follows:
- Test data analysis: cleaning, post processing of signals, detection/identification of measurement errors and understanding of test,
- Data labelling to identify the different operating conditions: electrical power, type of fuel, environmental conditions,
- Construction of a digital model based of machine learning techniques,
- Validation of the model with the design office experts,
- Propose a methodology to characterize the model dispersion based on manufacturing acceptance test reports,
- Propose a methodology to detect degradation trends based on test lab data,
- If possible, model validation with cold aircraft data
- Propose recommendations to structure and document the equipment data.

Parlons de vous

Education:
- Data Scientist profile.
- Preferably with an educational background in general engineering.

Experience:
- Academic projects involving data analysis and time series data.

Skills and Qualities:
- Curious, autonomy
- Signal processing, Data engineering, Data analytics,
- General knowledge of mechanical and electrical engineering, as well as signal processing.
- Programming:
o Proficiency in Python programming
o Experiences with the following packages: Panda, scikit-learn, Numpy, SciPy…
o General knowledge of mechanical and electrical engineering, as well as signal processing.

Mais encore ? (avantages, spécificités, …)

A stimulating environment: You will join a company at the heart of aeronautical innovation, where technology and safety serve critical performance.
High-stakes projects: You will work on embedded systems that are essential to flight safety, in a demanding international and regulatory environment.

Information de la société

Safran est un groupe international de haute technologie opérant dans les domaines de l'aéronautique (propulsion, équipements et intérieurs), de l'espace et de la défense. Sa mission : contribuer durablement à un monde plus sûr, où le transport aérien devient toujours plus respectueux de l'environnement, plus confortable et plus accessible. Implanté sur tous les continents, le Groupe emploie 100 000 collaborateurs pour un chiffre d'affaires de 27,3 milliards d'euros en 2024, et occupe, seul ou en partenariat, des positions de premier plan mondial ou européen sur ses marchés.
Safran est la 2ème entreprise du secteur aéronautique et défense du classement « World's Best Companies 2024 » du magazine TIME.

Safran Aerosystems est l'un des leaders mondiaux des systèmes aéronautiques dédiés à la sécurité des avions et hélicoptères ainsi qu'à la gestion des fluides et du carburant. La société est un acteur clé dans le domaine de la sécurité des vols (oxygène, évacuation, flottabilités) et participe à la décarbonation de l'aviation grâce aux carburants alternatifs durables et aux nouvelles architectures moteurs. Elle compte 5200 collaborateurs répartis dans 7 pays.

Parce que nous sommes persuadés que chaque talent compte, nous valorisons et encourageons les candidatures de personnes en situation de handicap pour nos opportunités d'emploi