Scientific Computing, surrogate reduction methods and scientific machine learning for fluid-structure interaction and multiphase flow problems

Numerical analysis and simulation for the complex systems (industry, medicine, environment) held by PDEs and/or data-driven, computational fluid dynamics for optimisation and control, data science, automatic learning and uncertainty quantification, offline-online scientific computing, digital twins, advanced programming, high performance computing and/or large scale computing competences.