The FOCACCYA project, conducted over two years by an interdisciplinary consortium (CEA, Institut Clément Ader), aims to understand and prevent the formation of duplex oxide layers, which are critical for material corrosion in industrial environments such as nuclear reactors. It combines bibliographic and experimental data mining, statistical analysis, and advanced characterization experiments to identify the key parameters of this phenomenon. The results will be integrated into a database to model corrosion mechanisms and improve material protection. The recruited candidate, on a two-year post-doctoral contract, will be responsible for setting up the database and exploiting it using numerical methods (statistics, ML, and AI).