Phd 2026: Controllability of welded parts in critical equipment - Virtual materials for efficie[...]

Phd 2026: Controllability of welded parts in critical equipment - Virtual materials for efficient NDT inspection tools

09/01/2026 Financement public/privé

The aim of this PhD is to model the development of microstructures during welding processes on thick parts, in the context of nuclear equipment, for which deposits of several dozen passes are regularly made.

One of the challenges of the project is to propose numerical approaches that enable these simulations to be carried out within a reasonable time frame, given the volumes of material deposited, while maintaining the expected accuracy. Part of the activity will also involve implementing Artificial Intelligence (AI) methods similar to computer vision to facilitate this prediction, based on the simulated microstructures.

The ATALANTE project , of which this PhD is a part, is divided between experimentation, modeling, and commercialization, and brings together five partners: CEMEF (Mines Paris PSL), ICB (Université Bourgogne Europe), CEA LIST, EDF R&D, and TRANSVALOR .

In this context, this PhD project aims to develop virtual microstructures on thick welded parts to enable ATALANTE's other partners to simulate the propagation of ultrasonic waves and improve NDT tools. The challenge will be to characterize the formation and variability of grain structures on welds with a high number of passes.

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Engineering degree or Master’s degree in digital technology, materials, mechanics, or applied mathematics.

Students interested in issues related to modeling and digital simulations of physical phenomena in engineering science.