High Performance Computing

I have an opening in my group for a 2-year postdoc position offering applicants an exciting opportunity to join my ERC-funded project “ALPS - AI-based Learning for Physical Simulation”.

Job description

You will be contributing to developing novel algorithms at the intersection of computational physics and machine learning for the automatic identification of symbolic models of physical systems starting from experimental data.

http://www.mines-paristech.fr/Formation/Doctorat/Propositions-de-sujets-de-these/Detail/Methodes-de-calcul-haute-performance-pour-simuler-le-comportement-mecanique-des-Propergols/30640

Since the beginning of the industrial age, material performance and design have been in the midst of innovation of many disruptive technologies. Today’s electronics, space, medical, transportation, and other industries are enriched by development, design and deployment of composite, heterogeneous and multifunctional materials. As a result, materials innovation is now considerably outpaced by other aspects from component design to product cycle. In this article, we review predictive nonlinear theories for multiscale modeling of heterogeneous materials.

The STFC Hartree Centre (in Warrington, UK - located between Manchester & Liverpool) is running 4 high performance computing summer schools from June to July 2016. They are primarily aimed at PhD students and postdoctoral researchers, but are also open to academics and industry at no extra cost. The tuition fees are subsidised by STFC and each week only costs £150. There is a 1 week school on each of the following topics:

In our recent Extreme Mechanics Letter, we present a simulation consisting of 53.8 Billion finite elements with 28.1 Billion nonlinear equations that is solved on 393,216 computing cores (786,432 threads). The excellent parallel performance of the computational homogenization solver is demonstrated by a strong scaling test from 4,096 to 262,144 cores.

The University of Notre Dame, Center for Shock Wave-processing of Advanced Reactive Materials (C-SWARM), is seeking a highly qualified candidate for the postdoctoral associate position in the area of computational mechanics/physics with emphasis on parallel numerical methods. C-SWARM is a center of excellence established by the National Nuclear Security Administration (NNSA) whose primary focus is on the emerging field of predictive science.