Simons Postdoctoral Fellowship at Berkeley Lab in the
"Theory of Computing for Science"
The Computing Sciences Area at the U.S. Department of Energy's Lawrence Berkeley National Laboratory invite applications for the Simons fellowship in the "Theory of Computing for Science." The fellowship allows recent graduates with a Ph.D. (or equivalent) to acquire further scientific training in an exciting new collaboration between Lawrence Berkeley National Laboratory and the Simons Institute housed nearby at the University of California at Berkeley. The postdoctoral fellows will be part of a research project in the Computational Research Division, the National Energy Research Scientific Computing (NERSC) Division, or the Scientific Networking Division (home of ESnet), which include state-of-the-are computing and networking facilities in addition to basic research in Computer Science, Applied Mathematics, and Computational Science. Fellows will also spend one semester as Fellows in the Simons Institute program in the "Theoretical Foundations of Massive Data Analysis" during the fall of 2013.
For consideration, applications are due January 15, 2013 for Fall 2013.
Berkeley Lab's Computing Sciences organization provides high-performance computing (HPC) resources and advance networking capabilities and expertise to researchers across the country, advancing computational science of scale. This includes large-scale data analysis for the flood of data generated by experimental facilities, such as the Lab's Joint Genome Institute and Advanced Light Source, observational data used in two recent Nobel prizes in Cosmology, and simulation data in climate modeling, massive "Materials Genome" simulations, and scientific fields. In addition, the lab has large and growing scientific data sets in particle physics, network monitoring, environmental modeling and bioimaging. Basic research projects in "Big Data" involve algorithms and tools for data management, analysis, visualization, and support for distributed collaborations.
The Simons Fellowship at Berkeley Lab aims support recent graduates (within the past three years) with a strong emphasis on data-intensive computing. The successful applicant will be compensated with a competitive salary and excellent benefits.
We encourage those who are interested in the foundational work in data-intensive computing and its use in other science disciplines to join us in our efforts by applying for a fellowship.
For more information about the Simons Institute at Berkeley, see: http://simons.berkeley.edu
- Requires a Ph.D. in computer science or related discipline.
- Candidates must have received a Ph.D. within the last three years.
For more information about additional opportunities in Computing Sciences, please visit our web site at http://www.lbl.gov/CS/Careers/.