Job ID 2343Date posted 09/23/2020
Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation’s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University.
CSI (Computational Science Initiative) Scientific Data & Computing Center has an opening for an Advanced/Senior Technology/Engineer to contribute to the support of NSLS-II computing activities. Responsibilities of the successful candidate will include: supporting off-line computing activities, operating storage systems, deployment and monitoring data transfer protocols over the WAN, integrating an operational federated identity management system and participating in the evaluation and adoption of new technologies.
Brookhaven National Laboratory (BNL) is the scientific extreme scale Data Laboratory in the US. With over 125 PB of archived data, the Scientific Data & Computing Center (SDCC) at BNL hosts the largest scientific data archive in the US and the 3rd largest worldwide. In contrast to many others, this is an active archive were we continuously reuse all the data in the archive. In 2017 we analyzed 500PB of data on-site. This data comes largely from the many scientific user facilities that we support at BNL such as the unique nuclear physics experiment at RHIC, the brightest synchrotron in the world at NSLS II, the largest Tier 1 center for the LHC Atlas experiment, the Japanese particle physics experiment Belle II, the Center for Functional Nano Materials and the Atmospheric Radiation Measurement program. As a result, we have a lively, fast-growing data science research program at BNL, with a specific focus on the challenges presented by the analysis, interpretation, and use of data at extreme scales and in real-time. The data science program is accompanied by significant computational modeling research effort, in support of the design, planning, analysis and interpretation of experiments and their results. The Computational Science Initiative (CSI - https://www.bnl.gov/compsci/ [www.bnl.gov]) provides the laboratory wide umbrella for these activities, bringing together computer scientists, applied mathematicians and domain scientists to carry out leading-edge research, convert research results into practical solutions that advance domain science and provide the necessary computing infrastructure services and training to support efficient operation.
Essential Duties and Responsibilities:
Required Knowledge, Skills, and Abilities:
Preferred Knowledge, Skills, and Abilities:
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