Ingénieure/ingénieur de recherche - Post-Doc en Safety Management et statistiques
Société : ENAC Lieu : Haute-Garonne (Occitanie)
Présentation de l'entreprise
L’ENAC, École Nationale de l’Aviation Civile, est la plus importante des Grandes Écoles ou universités aéronautiques en Europe. Elle forme à un spectre large de métiers : des ingénieurs ou des professionnels de haut niveau capables de concevoir et faire évoluer les systèmes aéronautiques et plus largement ceux du transport aérien ainsi que des pilotes de ligne, des contrôleurs aériens ou encore des techniciens aéronautiques.
Ses laboratoires de recherche sont à la pointe de l’innovation et travaillent activement en coopération avec des universités internationales de haut niveau pour un transport aérien toujours plus sûr, efficace et durable.
L’ENAC est un établissement public à caractère scientifique, culturel et professionnel – grand établissement (EPSCP-GE), sous tutelle de la DGAC (Direction Générale de l’Aviation Civile), Direction du Ministère de la Transition Écologique et Solidaire. L’ENAC comprend une direction générale localisée à Toulouse et 8 sites en France.
Pour soutenir sa dynamique en faveur de la promotion de la diversité, l’ENAC facilite l’accueil et l’intégration des travailleurs en situation de handicap.
Descriptif du poste
Société : ENAC Catégorie : Intérim Activité : Services Filiere : Assurance Metier : Ingénieur d'études et développement Lieu : Haute-Garonne (Occitanie) Durée : CDD
Mission
Founded 70 years ago, ENAC, École Nationale de l'Aviation Civile, is Europe's largest aeronautical Grandes Écoles or university. It provides initial and advanced training for managers and key players in the civil aviation industry: engineering, air navigation, piloting, airport management, research, expertise and international development.
ENAC is a public scientific, cultural and professional establishment, under the supervision of the DGAC (Direction Générale de l'Aviation Civile ), the French civil aviation authority. ENAC has a main campus in Toulouse and 8 sites in France.
In a so-called ultra-safe industry like aviation, it is now widely acknowledged that relying on accidents to enhance safety is not sufficient. In order to have access to feedback from operations, including less critical situations than accidents or significant incidents, reporting systems have been introduced in aviation at several levels, leading to databases of spontaneously reported events that might be of interest from a safety viewpoint. ECCAIRS and ASRS are examples of such databases at regional level in respectively Europe and North America. In addition to these regional initiatives, a number of aviation organizations have their own internal reporting systems allowing them to collect events considered safety relevant by the reporter. These reports constitute a unique source of qualitative information on operations that are nowhere else available. They might come in addition to FDM data or other sources of structured data collected in a systematic way but based on ‘sensored’ parameters only. In other words, they are a very valuable source of information to develop insights on the safety of operations overall. However, the events reported through these channels do not provide a complete and accurate picture of real operations. Indeed, first of all, reporting is not mandatory for events that are not critical enough to fall under the ICAO Annex 13 or other mandatory reporting scopes (e.g. EASA regulations or national/regional laws). Therefore, the appreciation of whether an event might be of interest to safety and is worth reporting is left to potential reporters and may vary from one individual to another as it may vary from one organization to another. Besides, the way an event is reported relies on the perception, understanding and analysis of the individual who reports and might differ from objective facts. Eventually, the database of reported events provides a partial a biased view of real operations. A major challenge to still use this data but for its actual value is to know more about the extent to which it represents operations.
The objective of this research is to explore through a combination of statistical and qualitative approaches the representativeness of the sample of the events reported to find ways to qualify the safety concerns it highlights and adjust the safety management strategy accordingly.
The statistical approach consists in determining a model to detect the occurrence of an event based on exhaustive sources of data such as PFR reports or time series.
The qualitative approach relying on interviews and surveys allows for getting insights on what lies behind the numbers, understand the motivations for and obstacles to sharing events with the aircraft manufacturer. It also drives a number of assumptions as to what type of events are worth investigating in priority through statistics, and allows for having grounded interpretations of the statistical results.
Profil recherché
- Knowledge and experience in machine learning
- knowledge of machine learning language like R or Python
- Quick learning
- Self-reliance
- Strong communication skills, ability to interact with people having diverse profiles and interests
- Advanced spoken and written English
- Interview and survey skills would be appreciated
- Strong interest in research
- Interest in aviationCLIQUER ICI POUR POSTULER
