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Stochastic Computational Mechanics

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PhD position in data-driven stochastic multi-scale simulations of composite materials

Context

As part of a Europeanproject between different industrial partners and Universities, the main objective of the doctoral position will be to develop methodologies in thecontext of data-driven stochastic multi-scale simulations.

PhD opportunity

Stochastic Review Paper in Movie Form!

A while ago, I shared news about the recent publication of our review paper titled: "Practical Application of the Stochastic Finite Element Method".  The first author David Arregui-Mena, a PhD student at the University of Manchester, created a YouTube movie which summarises the content of the paper.

For those interested, its worth a watch!

Link to movie

Post-doctoral position in Computational Stochastic Mechanics, Nantes, France

Post-doctoral position - Stochastic computational techniques to deal with uncertainties on the geometry in structural analysis

The post-doctoral student will join the pole "Structures and Couplings" of the Research Institute en Civil Engineering and Mechanics (GeM), Nantes, France (Nantes University, Ecole Centrale Nantes, CNRS UMR 6183)

We have recently been awarded a Research Project by the French National Research Agency. This project addresses theorical and numerical developments in the field of stochastic computational mechanics. The main goal of this project is to develop a robust computational technique to deal with uncertainties on the geometry in structural analysis. The proposed methodology lies on the extension of the Extended Finite Element Method (X-FEM) into the stochastic framework and the development of efficient computational techniques for solving stochastic systems.

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