Objectives

The doctoral program part of the École Doctorale 364 “Sciences Fondamentales et Appliquées” (ED.SFA) provides an advanced studies track for future researchers in numerical algorithms and data science for mechanics-physics.
It covers a wide range of subjects including:

• high-performance linear algebra,
• massively parallel mesh algorithms,
• numerical methods for turbulent multiphase flows and fluid-structure interaction,
• development of computational code scalable on supercomputers,
• data-intensive computing with deep learning and assimilation techniques.

In the context of the convergence between High-Performance Computing and Data Science, the development of computational tools combining numerical simulation and learning is crucial to accompany industrial partners in their digital transition.

The possibilities are numerous: data-driven models using offline simulation results or experimental results, reduced order models, deep-learning techniques for fast prediction, or optimization/control of industrial processes…

Environment

Located at Sophia-Antipolis, research teams and students benefit from the support of MINES Paris | PSL University and Université Côte d’Azur, as well as collaboration with other institutes and industrial partners.

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