BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T000603Z
LOCATION:
DTSTART;TZID=America/Denver:20231115T100000
DTEND;TZID=America/Denver:20231115T150000
UID:submissions.supercomputing.org_SC23_sess503_job118@linklings.com
SUMMARY:Postdoc - Scientific Computing (JR100522)
DESCRIPTION:Brookhaven National Laboratory (BNL) is a scientific, extreme 
 scale Data Laboratory in the U.S., New York State, Long Island. 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 us
 e of data at extreme scales and in real-time. The data science program is 
 accompanied by significant computational modeling research effort, in supp
 ort of the design, planning, analysis, and interpretation of both laborato
 ry and computer experiments and their results. The Computational Science I
 nitiative (CSI - https://www.bnl.gov/compsci/) provides a laboratory-wide 
 umbrella for these activities, bringing together computer scientists, appl
 ied mathematicians, and domain scientists to carry out leading-edge resear
 ch, convert research results into practical solutions that advance domain 
 science, and provide the necessary computing infrastructure services and t
 raining to support efficient operation. \n\nThe position will reside withi
 n CSI’s Computing for National Security group, which conducts research on 
 system and processor architectures for data-intensive computing, involving
  methods such as modeling and simulation, surrogate and reduced order mode
 ling, optimal experimental design, uncertainty quantification, decision ma
 king under uncertainty, extreme-scale data analysis, and scientific machin
 e learning. Many of the activities involve use of advanced computing syste
 ms at different levels of technology maturity from prototype to large-scal
 e systems.\n\nThe Computing for National Security Group of the Computation
 al Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invite
 s exceptional candidates to apply for a post-doctoral research associate p
 osition in computer architecture, machine learning, and scientific computi
 ng. This position offers a unique opportunity to conduct research in emerg
 ing interdisciplinary research problems at the intersection of computer ar
 chitecture, machine learning, and high-performance computing (HPC) with ap
 plications in diverse scientific domains of interest to BNL and the Depart
 ment of Energy (DOE). Topics of specific interest include: (i) modeling an
 d simulation of novel domain specific accelerators and/or memory technolog
 ies; (ii) data-driven/machine-learning-based modeling and simulation techn
 ologies and tools. The position includes access to world-class HPC resourc
 es. such as the BNL’s Advanced Computing Laboratory and other computationa
 l resources, and DOE leadership computing facilities. Access to these plat
 forms will allow computing at scale and will ensure that the successful ca
 ndidate will have the necessary resources to solve challenging DOE problem
 s of interest.\n\nThis program provides full support for a period of two y
 ears at BNL with possible extension. Candidates must have received a docto
 rate in computer science, computer engineering, or a related field (e.g., 
 electrical engineering, physics) awarded within the last 5 years. This pos
 t-doc position presents a unique chance to conduct interdisciplinary colla
 borative research in BNL programs with a highly competitive salary.\n\nEss
 ential Duties and Responsibilities:\n\nDesign and carry out original resea
 rch in modeling and simulation of novel domain specific accelerators and/o
 r memory technologies for scientific computing and/or emerging device tech
 nologies.\nResearch and implement new solutions for resilient computing in
  distributed, data-intensive workflows in use at leading DOE experimental 
 facilities.\nDevelop, implement, and utilize data-driven/machine-learning-
 based approaches for computer system modeling and simulation.\nCollaborate
  with scientists within and outside of Brookhaven National Laboratory.\nDe
 velop research ideas into actionable research strategies and programs.\nPr
 esent research progress and outcome at internal meetings and external conf
 erences/workshops.\nPublish research findings in peer-reviewed journals or
  conference proceedings.\n\n
END:VEVENT
END:VCALENDAR