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_job112@linklings.com
SUMMARY:Research Specialist - Machine Learning (JR100600)
DESCRIPTION:The Machine Learning Group within Brookhaven National Laborato
 ry’s Computational Science Initiative (CSI) invites exceptional candidates
  to apply for a Research Specialist (RS1/RS2) position focused on machine 
 learning (ML). This position offers a unique opportunity to conduct both b
 asic and applied research in concert with collaborators working on diverse
  scientific and security problems of interest to Brookhaven Lab and the De
 partment of Energy (DOE). Topics of particular interest include novel deve
 lopment of deep learning ML models and adaptation of existing ones for sci
 entific and security applications; ML models for natural language processi
 ng (NLP) and computer vision (CV), e.g., Large Language Models (LLMs) and 
 multi-modal, multitask Foundation Models; and techniques supporting stakeh
 olders and end users of applied ML methods, such as uncertainty quantifica
 tion (UQ), interpretability and explainability for artificial intelligence
  (XAI), and responsible AI.\n\nThis position provides access to world-clas
 s computing and data resources, such as Brookhaven Lab’s Institutional Clu
 ster and DOE leadership computing facilities. These platforms afford compu
 ting at scale, as well as access to unique data sources, ensuring the succ
 essful candidate will have the necessary tools to tackle challenging DOE p
 roblems of interest. In addition, the successful candidate will join a gro
 wing research group with diverse expertise and projects that span laborato
 ry-level and nationally concerned DOE missions. This research staff positi
 on presents a distinct opportunity to conduct interdisciplinary collaborat
 ive research at Brookhaven Lab with a highly competitive salary.\n\nEssent
 ial Duties and Responsibilities:\n\nAssist in developing novel algorithms 
 and conduct computational experiments.\nSupport dissemination of research 
 findings in publications, posters, project reports, and presentations.\nEf
 fectively communicate with supervisor and team members.\nMay independently
  develop solutions and ideas.\n\n
END:VEVENT
END:VCALENDAR
