NERSC provides world-class supercomputing, high performance, scalable data systems and services to 7000 users across more than 600 projects running 800 different codes. NERSC's science impact is acknowledged by over 2000 publications per year.
The Challenge: Enabling advanced simulation and modeling at scale on energy-efficient supercomputers. In 2020, NERSC will begin deploying its first production heterogeneous CPU/GPU-based Cray supercomputer, "Perlmutter." Perlmutter, a system optimized for science, includes future-generation AMD CPUs, next-generation NVIDIA GPUs, a high-speed interconnect, and an all-flash file system. Many codes running at NERSC must be adapted or optimized to run efficiently on GPUs, and solutions that put GPU performance in the hands of users must be portable ones. NESAP is about employing cutting-edge computational science techniques and advanced performance analysis tools to develop highly scalable, distributed parallel algorithms to meet this challenge.
Cutting-edge simulation of complex physical phenomena requires increasing amounts of computational resources due to increasing model sizes, parameter space searches, and inclusion of additional physics for higher fidelity. N4S enables simulations to make effective use of modern high-performance computing (HPC) platforms by focusing on algorithm and data structure development and implementation on new architectures such as GPUs, exposing additional parallelism and improving scalability.
As a NESAP Fellow, you will be a part of a multidisciplinary team composed of computational and domain scientists working together to transition and optimize codes to the Perlmutter system and produce mission-relevant science that pushes the limits of HPC. You will carry out code transition efforts in collaboration with a project PI and team members with the support of NERSC and vendor staff. Successful candidates are expected to collaborate with each other across NESAP applications and program areas.
Successful candidates will have one or more of the following responsibilities:
Work with NERSC staff and code teams to transition and optimize simulation, data analytics, or machine learning codes for the Perlmutter system in performance-portable ways.
Conduct profiling and scaling studies as well as parallelization, memory bandwidth, and I/O analyses for these codes; identify and capitalize on NERSC's combined HPC/data ecosystems.
All postdocs will have the responsibility to:
Disseminate results of research activities through refereed publications, reports, and conference presentations. Ensure that new methods are documented for the broader community, NERSC staff, vendors, and NERSC users.
Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged.
Opportunities to travel to sites at other labs, universities, and to vendor facilities.
Ph.D. in Computational Science, Data Science, Computer Science, Applied Mathematics, or a science domain area with a computationally-oriented research focus including but not limited to Physics, Engineering, etc.
Research experience and knowledge in computing and/or code development for HPC, algorithm design or applied mathematics.
Demonstrably effective communication and interpersonal skills.
Ability to work productively both independently and as part of an interdisciplinary team balancing objectives involving research and code development.
Additional Desired Qualifications:
Experience with the development and performance optimization of scientific software in the HPC context.
Publication record or contributions to open source software projects commensurate with years of experience.
Experience with GPU and parallel/manycore computer architectures, threading, and vectorization.
Experience with numerical linear algebra, particle methods, or grid methods
Experience with C, C++, Fortran, MPI, threading, or data structure transformations.
To be considered applications must include:
A Cover Letter: Include a cover letter introducing yourself, your application, and describing your interest in the program. Please be sure to highlight which NESAP projects interest you most.
Curriculum Vitae/Resume: Either an academic CV or a resume is acceptable. Be sure to highlight technical skills, interests, and synergistic activities relevant to the position and to NERSC.
List of Publications: A list of publications is encouraged. Links to software projects, public code repositories, and other non-standard career metrics are welcome!
3 References: Provide contact information for three professional references with whom we may communicate regarding your work and your application.
This is a full time 1 year postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
This position is represented by a union for collective bargaining purposes.
Salary will be predetermined based on postdoctoral step rates.
Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
NESAP has established a track record of enabling its postdocs to pursue careers in data science, HPC, and scientific computing both in industry and at national labs. Take a look at what current and former NESAP postdocs are up to here.
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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.