Chercheur Doctorant H/F MultiObjective Optimization of Maintenance Strategies in the Aeronautical Industry within a Big Data Environment Driven by Heterogeneous and Uncertain Data

Abstract

Join a PhD project at the forefront of Aviation 4.0 and contribute to the development of advanced Artificial Intelligence solutions aimed at making aeronautical systems more reliable, smarter, and energy-efficient through the intelligent use of large-scale industrial data.

Keywords : Aviation 4.0, Predictive Maintenance, Industrial Big Data, Multi-Objective Optimization

This PhD project focuses on developing Artificial Intelligence and Big Data methods to improve the reliability, performance, and energy efficiency of aeronautical systems. By leveraging large volumes of heterogeneous and uncertain industrial data (from sensors, maintenance logs, and real operations), the goal is to anticipate failures, optimize maintenance, and extend equipment lifespan.

The approach combines machine learning and multi-objective optimization to support smarter dec...