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LBL Post-doc: Exascale Data Science

Lawrence Berkeley Lab: Data Science Post-doc Fellowship Description

Position Summary:

Berkeley Lab’s NERSC Division has an opening for an Exascale Science Applications Postdoctoral Fellow for Data (NESAP). Looking for highly motivated postdocs to join the NERSC ExaScale Application Readiness Program (NESAP), funded by the US Department of Energy Office of Science. These postdocs will participate in “NESAP for Data,” collaborating with scientific teams to enable the solution of deep, meaningful problems in data-intensive experimental/observational sciences like cosmology, high-energy physics, neuroscience, and imaging.

The Challenge: To enable advanced data science and knowledge discovery at scale on energy-efficient supercomputers. In search of answers to some of the deepest questions of our time, scientists pursue ever-increasing volumes of data, and seek to explore data with computationally intensive algorithms. To meet these demands, NERSC has deployed Cori, a 30 petaflop Cray XC40 supercomputer (named in honor of Gerty Cori, the first American woman to win a Nobel Prize in science). Cori was designed for large-scale simulations, modeling, and data analysis. It is based in part on the new energy-efficient Intel Xeon Phi/Knights Landing (KNL) many-core processor. Cori includes a number of features especially friendly to data-intensive science users. For instance, it is the first high-performance computing (HPC) resource to incorporate a Burst Buffer, a layer of non-volatile storage, especially useful for big data workloads from scientific experiments.

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