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
Knowledge of advanced computing and high-performance computing
For full consideration, please apply by close of business on November 9, 2020.
There is a multi-step application process:
Submit a full and complete application, including the names and contact information for references.
As part of your application, you must upload and submit additional materials:
Research Statement (should be no more than five (5) pages in length)
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.
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.
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
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.
Berkeley Lab (LBNL) 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 under 41 CFR 60-1.4. Click here 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.
Internal Number: 91062
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.