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UID:submissions.supercomputing.org_SC23_sess503_job212@linklings.com
SUMMARY:Postdoctoral Appointee – High Performance Computing
DESCRIPTION:The Argonne Leadership Facility (ALCF) in collaboration with D
 ata Science and Learning (DSL) division, is looking for a postdoctoral app
 ointee to perform research and development in high-performance computing t
 echniques for large-scale X-ray image analysis problems in the context of 
 the upcoming exascale platforms (Aurora) and upgraded Advanced Photon Sour
 ce (APS-U). \n\nIn this role you can expect to:\n\nPerform research and de
 velopment in various HPC techniques, such as efficient usage of memory hie
 rarchy and communication links (within an accelerator to across accelerato
 rs) and heterogeneous computing. \nCollaborate with both computer and comp
 utational scientists from different divisions to understand upcoming APS-U
  imaging problems. \nConduct research and development aligned with Argonne
 ’s strategic missions in computation.\nConduct work in HPC, parallel and d
 istributed systems, computational imaging sciences, and leadership computi
 ng; and promotes findings through publications, presentations, program rep
 orts, software dissemination, and other means of reporting outcomes. \nCon
 tribute to the discovery and technological advances in X-ray imaging scien
 ces via advanced HPC, parallel and distributed systems R&D, with emphasis 
 on the applications of exascale (and beyond) computer architectures.\nStre
 ngthen your career path opportunities by applying new techniques, developi
 ng independent research capabilities, and building professional skills suc
 h as communication, networking, and leadership.\nThe high performance comp
 uting techniques will be implemented in an X-ray image analysis middleware
 /toolkit to ease the development of new, efficient, and scalable image pro
 cessing algorithms with out-of-box HPC capabilities; and the software will
  be deployed to current and next-generation high-end compute clusters such
  as ALCF's Polaris, ThetaGPU, and Aurora.\n\n
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