From 10b28a63d57d6d350a576fcca3dc3417f2993f1e Mon Sep 17 00:00:00 2001 From: Calcul Bot Date: Mon, 15 Nov 2021 21:14:56 +0000 Subject: [PATCH 1/2] Adding new job offer job_675f2d96b75d4407a4a9221a78f3d62c --- .../job_675f2d96b75d4407a4a9221a78f3d62c.md | 26 +++++++++++++++++++ 1 file changed, 26 insertions(+) create mode 100644 content/job_offers/job_675f2d96b75d4407a4a9221a78f3d62c.md diff --git a/content/job_offers/job_675f2d96b75d4407a4a9221a78f3d62c.md b/content/job_offers/job_675f2d96b75d4407a4a9221a78f3d62c.md new file mode 100644 index 00000000..c8c3cb19 --- /dev/null +++ b/content/job_offers/job_675f2d96b75d4407a4a9221a78f3d62c.md @@ -0,0 +1,26 @@ +Title: h-adaptation strategies and unified basis representation for surrogate and reduced order modelling of fluid flows with immersed/embedded parametrized geometries +Date: 2021-11-15 21:14 +Slug: job_675f2d96b75d4407a4a9221a78f3d62c +Category: job +Authors: Nicolas Barral +Email: nicolas.barral@inria.fr +Job_Type: Post-doctorat +Tags: postdoc +Template: job_offer +Job_Location: Talence +Job_Duration: 1 an +Job_Website: https://team.inria.fr/cardamom +Job_Employer: Inria Bordeaux +Expiration_Date: 2021-12-31 +Attachment: + +Les détails de l'offre: https://recrutement.inria.fr/public/classic/fr/offres/2021-04111 + +The postdoc will be within the framework of the European project EuroHPC-02-2019 eflows4HPC, and in collaboration with the partners of the pillar I of the project: CIMNE, SISSA, SIEMENS and Duke University. + +The main objetive of this work is to develop improved adaptive remeshing techniques in the framework of model reduction and optimization with parametrized geometries, and in particular in conjunction with immersed and/or embedded boundary simulations. he purpose is twofold: + +* on one side to propose an efficient (in terms of storage) and unified spatial basis setting to represent multiple solutions on unstructured adaptive meshes. This requirement is essential to provide an efficient unified representation of multiple solutions on adaptive meshes in a parametrized setting. This representation is necessary for several operations related to inverse modelling, of model reduction (e.g. method of snapshots), to compute statistics etc. +* on the other hand we aim at exploiting the information available in a parametrized setting to speed up the adaptation process itself by e.g. constructing appropriate surrogate models of mesh metrics or error estimators + +These assignements will both involve theoretical work related to error estimation and approximation in physical and parametric space, with a final demonstration in an efficient setting involving workflows developed at the Barcelona Supercomputing center and based on open source software developed at Inria, Cimne, and at Sissa. \ No newline at end of file -- GitLab From d62119807842ec5f7089e3e6b5120ba77e2fa3b0 Mon Sep 17 00:00:00 2001 From: Roland DENIS Date: Tue, 16 Nov 2021 09:24:08 +0100 Subject: [PATCH 2/2] Fixing link --- content/job_offers/job_675f2d96b75d4407a4a9221a78f3d62c.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/job_offers/job_675f2d96b75d4407a4a9221a78f3d62c.md b/content/job_offers/job_675f2d96b75d4407a4a9221a78f3d62c.md index c8c3cb19..29e48ae8 100644 --- a/content/job_offers/job_675f2d96b75d4407a4a9221a78f3d62c.md +++ b/content/job_offers/job_675f2d96b75d4407a4a9221a78f3d62c.md @@ -14,7 +14,7 @@ Job_Employer: Inria Bordeaux Expiration_Date: 2021-12-31 Attachment: -Les détails de l'offre: https://recrutement.inria.fr/public/classic/fr/offres/2021-04111 +Les détails de l'offre: The postdoc will be within the framework of the European project EuroHPC-02-2019 eflows4HPC, and in collaboration with the partners of the pillar I of the project: CIMNE, SISSA, SIEMENS and Duke University. @@ -23,4 +23,4 @@ The main objetive of this work is to develop improved adaptive remeshing techniq * on one side to propose an efficient (in terms of storage) and unified spatial basis setting to represent multiple solutions on unstructured adaptive meshes. This requirement is essential to provide an efficient unified representation of multiple solutions on adaptive meshes in a parametrized setting. This representation is necessary for several operations related to inverse modelling, of model reduction (e.g. method of snapshots), to compute statistics etc. * on the other hand we aim at exploiting the information available in a parametrized setting to speed up the adaptation process itself by e.g. constructing appropriate surrogate models of mesh metrics or error estimators -These assignements will both involve theoretical work related to error estimation and approximation in physical and parametric space, with a final demonstration in an efficient setting involving workflows developed at the Barcelona Supercomputing center and based on open source software developed at Inria, Cimne, and at Sissa. \ No newline at end of file +These assignements will both involve theoretical work related to error estimation and approximation in physical and parametric space, with a final demonstration in an efficient setting involving workflows developed at the Barcelona Supercomputing center and based on open source software developed at Inria, Cimne, and at Sissa. -- GitLab