2021 Alvarez-Hopper Postdoctoral Fellow - 91062Organization: AC-Computing The Computing Sciences Area at Lawrence Berkeley National Laboratory is now accepting applications for the distinguished Luis W. Alvarez Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences. Researchers in computer science, mathematics, or any computational science discipline who have received their Ph.D. within the last three years are encouraged to apply. The successful applicants will work with a research group within the Computing Sciences Area and receive a competitive salary, professional travel allowance, relocation assistance, excellent benefits, and an opportunity to work in the dynamic San Francisco Bay Area. Since its founding in 2002, Berkeley Lab's Luis W. Alvarez Postdoctoral Fellowship (go.lbl.gov/alvarez) has cultivated exceptional early career scientists who have gone on to make outstanding contributions to computer science, mathematics, and computational sciences. The Admiral Grace Hopper Fellowship (go.lbl.gov/hopper) was first awarded in 2015 with the goal of enabling early career scientists to make outstanding contributions in high performance computing (HPC) research. About Computing Sciences at Berkeley Lab:Whether running extreme-scale simulations 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, as 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 technologies to meet these needs and to advance research in our core capabilities of applied mathematics, computer science, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as materials science, chemistry, biology, astrophysics, climate change, combustion, fusion energy, and HPC systems and network technology. Research areas in Computing Sciences include: Developing scientific applications and software technologies for extreme-scale and energy-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Advancing extreme-scale scientific data management, analysis, and machine-learning Developing next-generation machine learning and AI approaches for science Advancing quantum computing technologies, software, algorithms and applications Evaluating or developing new and promising HPC systems and networking technologies Researching methods to control and manage dynamic circuit networks Developing large-scale visualization and analytics technologies Managing scientific data in distributed environments What is Required: Ph.D. in computer science, mathematics, computational science, or related discipline Candidates must have received their Ph.D. within the last three years Expertise with advanced algorithms, software techniques, HPC systems and/or networking in a related research field Demonstrated creativity and the ability to perform independent research Demonstrated excellence in a related research field including: solid publication record, high citations, and awards Ability to develop new cross-disciplinary partnerships that use advanced computational and/or mathematical techniques to produce unique lab capabilities Excellent communication skills with the ability to facilitate communications and collaborations with internal and external stakeholders Desired Qualifications: Knowledge of advanced computing and high-performance computing Application Process:For full consideration, please apply by close of business on November 9, 2020. How To ApplyApply directly online at http://22.214.171.124/counter.php?id=186623 and follow the on-line instructions to complete the application process. There is a multi-step application process:1. Submit a full and complete application, including the names and contact information for references.2. As part of your application, you must upload and submit additional materials: CV/Resume Cover Letter Research Statement (should be no more than five (5) pages in length) Publications List3. Three (3) Letters of Reference must be submitted directly from three individual letter writers (due November 16, 2020). You are required to use the template (http://go.lbl.gov/lor-template) to send requests for your letters of reference. The template provides instructions for letter writers regarding where to return the letter by the deadline.4. Application deadline: November 9, 2020. However, your letters of reference must be received by the Lab directly from your letter-writers by November 16, 2020. We recommend that you give advance notice of the deadlines to your letter-writers. * It is highly advisable to have this required information ready prior to completing and submitting your application. Your application will not be considered complete if any of the above information is missing. Application Timeline:The 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 received. Application deadline: November 9, 2020 Letters of Reference due: November 16, 2020 Review and Selection: December 2020 - January 2021 Finalist announced: January/February 2021 Notes: This is a two-year postdoctoral appointment with the possibility of renewal and/or conversion to a Career or Term Research Scientist position based upon appropriate division review and approval, job performance, continuing availability of funds, and ongoing operational needs The selected candidates will be offered either the Luis J. Alvarez Fellowship or the Admiral Grace M. Hopper Fellowship based on their research focus This position is represented by a union for collective bargaining purposes Salary will be predetermined based on postdoctoral step rates. This position may be subject to a background check. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position Work will be primarily performed at: Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA Learn About Us:Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab- Click Here (https://hr.lbl.gov/). Berkeley Lab (LBNL, https://www.lbl.gov/) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science. Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html) under 41 CFR 60-1.4. Click here (https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) to view the poster and supplement: "Equal Employment Opportunity is the Law." Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
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