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UID:submissions.supercomputing.org_SC20_sess280_job113@linklings.com
SUMMARY:Research Scientist: CFD on Exascale Architectures
DESCRIPTION:Job Posting\n\nResearch Scientist: CFD on Exascale Architectur
 es\n\n\n\nNASA Langley Research Center and the National Institute of Aeros
 pace are seeking candidates for a Research Scientist to conduct research a
 nd development aimed at exascale-class computational fluid dynamics simula
 tions.  The analysis and design of aerospace vehicles requires high-fideli
 ty simulations capturing broad ranges of temporal and spatial scales previ
 ously considered intractable with the current class of petascale computing
  systems.  A successful candidate is expected to develop, implement, and d
 emonstrate computationally-performant implementations of existing and nasc
 ent algorithms at scale, targeting GPU-based High Performance Computing (H
 PC) systems while retaining performance portability to CPU-based architect
 ures.\n\nThe successful candidate will work as part of an interdisciplinar
 y team of researchers at NIA, NASA, and in academia to advance the capabil
 ities of interest.  Results of this work are expected to be published in b
 oth conference proceedings and journal papers.\n\nPrimary Responsibilities
 :\n\n- Develop, implement, and demonstrate optimal performance of computat
 ional kernels critical to exascale-class simulations of aeronautics and sp
 ace applications relevant to NASA missions\n- Collaborate within a multidi
 sciplinary team, leveraging GPU-based HPC systems and state of the art pro
 gramming models to realize a sustainable, performance-portable computation
 al toolset for next-generation CFD simulations \n\n\nRequirements:\n\n- M
 S in engineering, applied mathematics, computer science, physics, or equiv
 alent, with strong background in HPC and computational science for large-s
 cale applications. \n- Demonstrated experience in GPU programming techniqu
 es for real-world applications; ability to achieve and demonstrate optimal
  performance for both memory and compute-bound motifs.\n- A desire to quic
 kly learn and apply new paradigms relevant to current and emerging archite
 ctures, and an eagerness to work in a team environment.\n- Ability to succ
 essfully complete a background investigation required to obtain a NASA bad
 ge.\n- US citizenship or permanent resident status is a bona fide requirem
 ent.\n\n\nDesired Skills:\n\n- PhD preferred.\n- Previous experience targ
 eting performance portability and the use of programming abstraction model
 s \n- Previous experience working with unstructured grids and implicit sol
 ution techniques\n- Knowledge of fluid mechanics, numerical methods, and/o
 r physical modeling techniques\n\nRegistration Category: Tech Program Reg 
 Pass, Workshop Reg Pass, Tutorial Reg Pass, Exhibits Reg Pass
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