HPC computational fluid dynamics applications and GPU acceleration.

Job ID: 376809907
Job date: 2017-07-28
End Date:

Company : IBM 

Country :

Role : Postdoc 


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Job Description:
We are looking for a post-doc researcher to work on industrially focused HPC CFD applications. These typically form part of large-scale work flows involving equipment optimization, uncertainty quantification and operation/processing design. This is an exciting opportunity to join a skilled and expanding research team.

Required skills:

  • PhD/DPhil in Computer Science, Engineering, Physics, Chemistry, Biology, Mathematics, Biochemistry, Bioinformatics or similar disciplines
  • Understanding of computational methods for a class of fluid problems e.g. incompressible, compressible or multi-phase.
  • Knowledge of numerical analysis for PDEs.
  • HPC experience.
  • Experience in programming GPU accelerators.
Desired skills:
  • Familiarity with open-source ecosystem of CFD codes.
  • Exposure to industrial applications of large-scale CFD.
  • Direct experience in developing CFD solvers.
  • Ability to work in a multi-disciplinary team.
  • Knowledge of software engineering practices.
This role will be based Monday – Friday at IBM Research in Daresbury


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Additional Info:
IBM Research has a long and distinguished history of invention and innovation in the fields of science and engineering. In 2015 IBM Research and the UK Science and Technology Facilities Council (STFC) announced a major expansion as part of the STFC’s Hartree Centre at Daresbury. The central aim of this collaboration is to bring researchers from IBM together with STFC and UK Industry to accelerate adoption of new and existing research outcomes, exploiting large-scale, data centric cognitive computing.

IBM Research is establishing a group at Daresbury Laboratory and is building a new Engineering Applications/HPC team as part of this effort.

The application of computational fluid dynamics is evolving from the idealized solution of steady-state, averaged models towards unsteady, spatially-resolved models which capture complex flows involving turbulence, multiple scales and complex physics. At the same time, transformative changes in computer architectures are prompting the reshaping of the way we perform computer simulations.

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