Berkeley Lab's Computational Research Division has an opening for a Postdoctoral Scholar to assist in the implementation and documentation of new high-performance computing (HPC) approaches to a variety machine learning challenges in the Physical Sciences. Over the course of the last five years, LBNL's Computing Research Division in collaboration with NERSC Data Analytics group and the Physics Division has developed a research program in data-driven pattern recognition algorithms for High Energy Physics (HEP) and Cosmology, targeting massively parallel and post-Moore architectures (including neuromorphic and quantum systems). Several promising research directions involve the development of distributed Geometric Deep Learning, algorithms based on distributed graph neural networks, as well as Generative Adversarial Networks.
What You Will Do:
In the context of the ExaLearn Co-Design Center, will collaborate with LBNL physicists and computer scientists to develop innovative distributed pattern recognition algorithms for the next generation of HEP and Cosmology experiments and simulations on HPC systems.
Develop workflows for distributed training and optimization of graph neural networks, GANs and regression algorithms as we push to Exascale.
Investigate data and model parallelism approaches to train and run these on current HPC systems like ORNL Summit and NERSC 9.
Troubleshoot and solve problems of moderate scope and monitor benchmarks and bottlenecks in current codes and document these efforts.
Additional Responsibilities as needed:
May contribute to one or more existing research projects likeCosmoFlow,CosmoGAN, andHEP.TrkX andHEP.QPR. The first three are dedicated the development of Machine Learning algorithms for Cosmology and HEP while the latter is focused on Quantum Computing Pattern Recognition algorithms for HEP experiments.
What is Required:
Applicants need to have a Ph.D. in data sciences, computer science, software engineering, applied physics, physics, astronomy or related fields.
Experience with modern data analytics and machine learning frameworks and libraries.
Research experience in solving machine learning problems and demonstrated expertise in python for scientific computing.
Background and experience in computational methods and scientific computing.
Background in physics, engineering, or computer science.
Excellent oral and written communication skills.
Demonstrated ability to work effectively as part of a cross-disciplinary team.
Additional Desired Qualifications:
Graph algorithms and libraries.
HEP computing, cosmology data analysis, cosmological simulation.
The posting shall remain open until the positionis filled, however for full consideration, please apply by close ofbusiness on January 31, 2019.
This is a full time, 2 years, 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.
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 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."
Internal Number: 86105
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.