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UID:submissions.supercomputing.org_SC25_sess553_job101@linklings.com
SUMMARY:2026 Luis W Alvarez and Grace M Hopper Postdoctoral Fellowships
DESCRIPTION:<B>2026 Luis W Alvarez and Grace M Hopper Postdoctoral Fellows
 hips - 104992<br>\nDivision: AC-Computing\n\nLuis W. Alvarez Postdoctoral 
 Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computin
 g Sciences</B>\n\nThe Computing Sciences Area (hyperlink to https://cs.lbl
 .gov/) at Lawrence Berkeley National Laboratory (hyperlink to https://www.
 lbl.gov/) is now accepting applications for two distinguished postdoctoral
  fellowships in Computing Sciences:\n<ul><li>Luis W. Alvarez Postdoctoral 
 Fellowship, and\n<li>Admiral Grace M. Hopper Postdoctoral Fellowship</ul>\
 n\nResearchers in computer science, mathematics, data science, or any comp
 utational science discipline who have received their Ph.D. and have comple
 ted no more than three years of postdoctoral work are encouraged to apply.
   Only one (1) application is needed, and it will be considered for both p
 ostdoctoral fellowships.\n\nThe successful candidates will participate in 
 research activities in computer science, mathematics, data science, or any
  computational science discipline of interest to the Computing Sciences Ar
 ea and Berkeley Lab. Alvarez Fellows apply advances in computer science, m
 athematics, computational science, data science, machine learning or AI to
  computational modeling, simulations, and advanced data analytics for scie
 ntific discovery in materials science, biology, astronomy, environmental s
 cience, energy, particle physics, genomics, and other scientific domains. 
 Hopper Fellows concentrate on the development and optimization of scientif
 ic and engineering applications leveraging high-speed network capability p
 rovided by the Energy Sciences Network or run on next-generation high perf
 ormance computing and data systems hosted by the National Energy Research 
 Scientific Computing Center at Berkeley Lab.\n\nSince its founding in 2002
 , Berkeley Lab’s Luis W. Alvarez Postdoctoral Fellowship (go.lbl.gov/alvar
 ez) has cultivated exceptional early career scientists who have gone on to
  make outstanding contributions to computer science, mathematics, data sci
 ence, and computational sciences. The Admiral Grace Hopper Postdoctoral Fe
 llowship (go.lbl.gov/hopper) was first awarded in 2015 with the goal of en
 abling early career scientists to make outstanding contributions in comput
 er science and high-performance computing (HPC) research.\n\n<B>About Comp
 uting Sciences at Berkeley Lab:</B><br>\nWhether running extreme-scale sim
 ulations on a supercomputer or applying machine-learning or data analysis 
 to massive datasets, scientists today rely on advances in and integration 
 across applied mathematics, computer science, and computational science, a
 s well as large-scale computing and networking facilities, to increase our
  understanding of ourselves, our planet, and our universe. Berkeley Lab's 
 Computing Sciences Area researches, develops, and deploys new tools and te
 chnologies to meet these needs and to advance research in our core capabil
 ities of applied mathematics, computer science, data science, and computat
 ional science. In addition to fundamental advances in our core capabilitie
 s, we impact such areas as astrophysics and cosmology, accelerator physics
 , chemical science and materials science, combustion, fusion energy, nucle
 ar physics, biology, climate change, and HPC systems and network technolog
 y. Research areas in Computing Sciences include but are not limited to:\n<
 ul><li>Developing scientific applications and software technologies for ex
 treme-scale and energy-efficient computing\n<li>Developing mathematical mo
 deling for complex scientific problems\n<li>Designing algorithms to improv
 e the performance of scientific applications\n<li>Researching digital and 
 post-digital computer architectures for science\n<li>Developing and advanc
 ing extreme-scale scientific data management, analysis, and visualization\
 n<li>Developing and advancing next-generation machine learning, AI, and da
 ta science approaches for science\n<li>Advancing quantum computing and net
 working technologies, software, algorithms and applications\n<li>Evaluatin
 g or developing new and promising HPC systems and networking technologies\
 n<li>Researching methods to control and manage next-generation network\n<l
 i>Managing scientific data and workflows in distributed environments</ul>\
 n\n<B>Qualifications:</B>\n<ul><li>Requires a Ph.D. in computer science, m
 athematics, computational science, or related discipline.\nCandidates must
  have no more than 3 years of Postdoctoral Researcher or similar experienc
 e.\n<li>Expertise with advanced algorithms, software techniques, HPC syste
 ms and/or networking in a related research field.\n<li>Demonstrated creati
 vity and the ability to perform independent research.\n<li>Demonstrated ex
 cellence in a related research fiel\n<li>Ability to develop new cross-disc
 iplinary partnerships that use advanced computational and/or mathematical 
 techniques to produce unique lab capabilities.\n<li>Excellent communicatio
 n skills with the ability to facilitate communications and collaborations 
 with internal and external stakeholders.</ul>\n\n<B>Additional Desired Qua
 lifications:</B>\n<ul><li>Knowledge of advanced computing and high-perform
 ance computing.</ul>\n\n<B>Application Process:</B>\n<ol>\n<li>As part of 
 your application process, you must upload and submit the following materia
 ls with your online application.</li>\n<ol type="a">\n<li>Cover letter</li
 >\n<li>CV, with publication list included</li>\n<li>Research Statement (no
  more than five (5) pages in length when printed using standard letter-siz
 e (8.5 inch x 11 inch) paper with 1-inch margins (top, bottom, left, and r
 ight) and a font size not smaller than 11 point; figures and references ci
 ted, if included, must fit within the five-page limit)</li>\n<li>Contact i
 nformation (name, affiliation, and email address) of at least three (3) in
 dividuals who will be able to provide letters of reference.</li>\n</ol>\n<
 /li>\n<li>Application deadline: October 24, 2025.</LI></OL>\n\n* It is hig
 hly advisable that you have all the required application materials and inf
 ormation ready and available prior to completing and submitting your appli
 cation. Your application will not be considered complete if any of the abo
 ve information is missing.\n\n<B>Tentative Application Timeline:</B>\nThe 
 Computing Sciences Fellowship Selection Committee is made up of a diverse 
 representation of scientists and engineers across Berkeley Lab’s Computing
  Sciences Area who will conduct a thorough review of all applications rece
 ived.\n<UL><LI>Application deadline: October 24, 2025\n<LI>Review and Sele
 ction: October 2025 - January 2026\n<LI>Decisions made: January/February 2
 026</UL>\n\n<B>Notes:</B>\n<UL><LI>The selected candidates will be offered
  either the Luis W. Alvarez Postdoctoral Fellowship or the Admiral Grace M
 . Hopper Postdoctoral Fellowship based on their research focus.\n<LI>This 
 position is expected to pay between $137,916 to $142,053 annually.  Actual
  salary will depend on the candidate's overall experience and expertise, i
 ncluding prior experience in Postdoc roles.\n<LI>This position is represen
 ted by a union for collective bargaining purposes.\n<LI>This position may 
 be subject to a background check. Having a conviction history will not aut
 omatically disqualify an applicant from being considered for employment. A
 ny convictions will be evaluated to determine if they directly relate to t
 he responsibilities and requirements of the position.\n<LI>By applying to 
 this role, your candidacy may be considered for other relevant positions w
 ithin Computing Sciences.  If you see a separate opening that matches your
  interests and qualifications, however, you are encouraged to apply.\n<LI>
 Work may be performed on-site, or hybrid. Work must be performed within th
 e United States. Starting May 7, a REAL ID or other acceptable form of ide
 ntification is required to access Berkeley Lab sites (for more information
  click here).</UL>\n\n<B>Want to learn more about working at Berkeley Lab?
  Please visit: careers.lbl.gov</B>\n\n<B>How To Apply</B><br>\nApply direc
 tly online at http://50.73.55.13/counter.php?id=307909 and follow the on-l
 ine instructions to complete the application process.\n\nEqual Employment 
 Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Va
 lues: Team Science, Service, Trust, Innovation, and Respect; and we strive
  to build community with these shared values and commitments. Berkeley Lab
  is an Equal Opportunity Employer. We heartily welcome applications from a
 ll who could contribute to the Lab's mission of leading scientific discove
 ry, excellence, and professionalism. In support of our rich global communi
 ty, all qualified applicants will be considered for employment without reg
 ard to race, color, religion, sex, sexual orientation, gender identity, na
 tional origin, disability, age, protected veteran status, or other protect
 ed categories under State and Federal law.\n\nBerkeley Lab is a University
  of California employer. It is the policy of the University of California 
 to undertake affirmative action and anti-discrimination efforts, consisten
 t with its obligations as a Federal and State contractor.\n\nMisconduct Di
 sclosure Requirement: As a condition of employment, the finalist will be r
 equired to disclose if they are subject to any final administrative or jud
 icial decisions within the last seven years determining that they committe
 d any misconduct, are currently being investigated for misconduct, left a 
 position during an investigation for alleged misconduct, or have filed an 
 appeal with a previous employer.\n\nRegistration Category: Technical Progr
 am Reg Pass, Workshop Reg Pass, Tutorial Reg Pass, Exhibits Reg Pass\n\nCo
 untry: United States of America\n\nCompany: Lawrence Berkeley National Lab
 oratory\n\nIn-Person / Remote: In-person\n\nPart Time / Full Time: Full Ti
 me\n\nPosition Type: Postdoctoral\n\n
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