Postdoc/research engineer in nlp

Description 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. Mission 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. Air safety report system is an example of such databases at regional level in respectively Europe and North America. In addition to these regional initiatives, a number of aviation organizations such as manufacturers or airlines 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 other sources of structured data collected during flights in a systematic way that are based on ‘sensored’ parameters only. In other words, these reports are a very valuable source of information to develop insights on the safety of operations overall. About the role: You will contribute to the analysis of safety events reported by airlines by joining the ENAC-Airbus “Safety Management” research program. This program was created in 2018 and renewed in 2023. It takes place at ENAC where a small team of research engineers and post-doctoral researchers are currently exploring different research topics related to emerging aviation safety challenges. You will more specifically work in tandem with a post-doctoral researcher and interact with ENAC researchers. You will use state-of the-art NLP algorithms to analyse large and complex datasets as well as developing machine learning models with statistical methods and optimization. You will in parallel interact with safety experts. Lastly, this role involves communicating and discussing regularly about your findings. Profile • Master’s or PhD in Data Science or Statistics or Computer Science or Aerospace Engineering or any related field • Strong proficiency in Python or similar programming languages for data analysis and machine learning • Solid knowledge and experience with machine learning models/frameworks and statistics • Ability to work with people from diverse backgrounds (researchers, safety analysts…) • Great flexibility, autonomy and pro-activity • Fluency in written and spoken English • Interest in research • Interest in aviation