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UID:submissions.supercomputing.org_SC20_sess280_job130@linklings.com
SUMMARY:Postdoctoral Appointee - DataStates
DESCRIPTION:Job Posting\n\nPostdoctoral Appointee - DataStates\n\n\n\nPosi
 tion Description:	\nThe Exascale Computing Project (ECP) is working closel
 y with large scale scientific applications that are increasingly being dri
 ven by scalable deep learning (e.g., CANDLE – Cancer Deep Learning Environ
 ment) running on the largest supercomputers in the world. In this context,
  we develop efficient techniques to capture, manipulate and persist large 
 amounts of data in a consistent and resilient fashion (some of which are i
 llustrated by the VELOC project, a low overhead checkpointing system). Cur
 rently, we are exploring a new data model centered around the notion of da
 ta states, which are intermediate representations of datasets automaticall
 y recorded into a lineage when tagged by applications with hints, constrai
 nts and persistency semantics. Such an approach enables the applications t
 o focus on the meaning and properties of their data rather than how to acc
 ess it, effectively reducing complexity while unlocking high performance a
 nd scalability for many use cases: finding and reusing previous intermedia
 te results to explore alternatives, inspecting the evolution of datasets, 
 verifying correctness, etc. This is especially important in the context of
  deep learning, where there is an acute need for advanced tools that explo
 re many alternative DNN models and/or ensembles to improve accuracy, train
 ing speed and ability to generalize/explain a problem.  \n\nIn addition to
  addressing such transformative challenges that arise at the intersection 
 of HPC, big data analytics and machine learning, you will have the opportu
 nity to work closely with many domain experts to identify the requirements
  and bottlenecks of real-life scientific applications that address the nee
 ds of our society over the next decades. In general, you will be part of a
  vibrant and diverse research community from more than 100 countries. Our 
 lab hosts Aurora, one of the first Exascale supercomputers in the world, w
 hich you will have an opportunity to use for your experiments. In addition
 , you will have access to a large array of leading-edge experimental testb
 eds through the Joint Laboratory for System Evaluation (JLSE), which featu
 re the latest technologies from top vendors like Intel, NVIDIA, AMD, etc.\
 n\nPosition Requirements:	\nCandidates are required to have earned (or are
  close to earning) a PhD degree, have a strong scientific background in di
 stributed computing and HPC in particular:\n\nStrong code development skil
 ls with C/C++ and Python\nFamiliarity with modern data management and I/O 
 best practices\nFamiliarity with machine/deep learning\nCandidates should 
 also have familiarity with large scale deep learning techniques: data, mod
 el and pipeline parallelism.  The ability to conduct interdisciplinary res
 earch at the intersection of HPC and deep learning and participate in team
 work and broad collaborative efforts involving other laboratories and univ
 ersities, supercomputer centers and industry.\n\nRegistration Category: Te
 ch Program Reg Pass, Workshop Reg Pass, Tutorial Reg Pass, Exhibits Reg Pa
 ss
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