The Data Analytics & Visualization (DAV) Group and the Center for Computational Sciences and Engineering (CCSE) in Berkeley Lab's Computational Research Division have a joint opening for a Computational Science Postdoctoral Scholar working on data analysis for Exascale Computing Project (ECP) applications.
You will focus on development of in situ data analysis and visualization methods, with a focus on topological data analysis, and coupling of these methods to simulation codes, in particular to application codes built on the block-structured adaptive mesh refinement core infrastructure AMReX. You will join an interdisciplinary team of scientists and engineers in extending the current functionality and performance portability of SENSEI, Ascent, and vtk-m and couple these to AMReX-based and other simulation codes. The incumbent will work with simulation code application teams to identify new data analysis needs and implement appropriate algorithms for performing these analyses in situ.
What You Will Do:
Research, development, and coding of new and existing algorithms, tools and technologies to meet data-intensive, data-driven science challenges.
Participate in the extension of Ascent, SENSI and vtk-m core functionality to new analyses and to work effectively on hybrid CPU/GPU systems in the context of hierarchical parallelism on large-scale computing hardware, and assist developers with the coupling this functionality into complex AMReX-based and other application codes.
Use performance profiling tools to identify impediments to effectively exploiting algorithmic parallelism, and propose and assess improved implementation strategies as appropriate.
Work independently and collaboratively in a multidisciplinary team environment including mathematicians, computer/computational scientists, and domain scientists (e.g., in biology, ecology, earth sciences, physics, nuclear science, cosmology, energy technologies).
Author peer-reviewed journal articles and contribute to grant proposals.
What Is Required:
Ph.D. in Computer Science, Applied Mathematics or the Physical Sciences/Engineering within the last 3 years, with a strong research background in scientific visualization and data analysis, parallel programming, applied mathematics, and scientific computing.
Strong C++ programming experience.
Experience with MPI and/or OpenMP.
Experience in implementing algorithms on shared memory many-core architectures, in particular GPUs. Experience with vtk-m a plus.
Keen interest in collaborating with scientists to develop new data analysis and visualization methods for new architectures and apply these methods to large-scale simulations.
Excellent verbal and written communication skills.
Ability to work productively independently and collaboratively as part of a diverse team.
Background in scientific visualization and data analysis, ideally with knowledge of topological data analysis.
Understanding of advanced computer and systems architecture and their contributions to the overall system performance.
Experience using performance analysis tools.
Experience with Python.
Experience with version control systems such as git.
The posting shall remain open until the position is filled.
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 4 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
Full-time, M-F, exempt (monthly paid) from overtime pay.
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. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
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 thePay Transparency Nondiscrimination Provisionunder 41 CFR 60-1.4. Clickhere to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 86439
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.