ORGANISATION/COMPANYIMT Lille Douai Armines
RESEARCHER PROFILEFirst Stage Researcher (R1)Recognised Researcher (R2)Established Researcher (R3)Leading Researcher (R4)
APPLICATION DEADLINE14/07/2019 00:00 - Europe/Brussels
LOCATIONFrance › Douai
TYPE OF CONTRACTTemporary
The Research and Education Center in Energy Environment at IMT Lille Douai has been developing a pioneering code for topology optimization problems in the open source C++ CFD library OpenFOAM® . For example the MMA (Method of Moving Asymptotes [2, 3]) topology optimization algorithm had been developed in the OpenFOAM® library/architecture but in series (for topology optimization computations over one single processor).
During this one year postdoc, it is required to
Conduct parallel-programming implementation, compilation, debugging and validation of an inequality constrained optimization algorithm in OpenFOAM® in C++ over multi CPU or multi GPU profiting from the domain decomposition techniques and the parallel computing classes available in OpenFOAM® (i.e. Pstream, MPI, OpenMPI).
The major tasks will be to solve the matrices, derived/assembled within the inequality constrained optimization algorithm algorithm applied to CFD problems, using the parallel decomposition techniques/methods/solvers of OpenFOAM®. A topology optimization case in CFD will be solved at the end, both in series and in parallel over multi CPU or multi GPU inorder to validate the parallel solver in OpenFOAM®.
The successful candidate should have excellent background in applied mathematics related to the fields of non-linear programming (NLP) and inequality/equality constrained large scale optimization problems solving.
She/he must own experience and very good parallel-programming skills in C++ (MPI, OpenMPI) and domain-decomposition techniques which are usually applied in large scale CFD problems.
Knowledge and experience within OpenFOAM®, programming over multi-CPU or multi-GPU and Linux® system mastering are required. Basic knowledge of Fluid mechanics and Heat Transfer in CFD simulations is also necessary.
The successful candidate should be highly motivated for research, and keen to work as part of a team and in a multidisciplinary environment.
EURAXESS offer ID: 400003
Posting organisation offer ID: 84723
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