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CR-Computational Research
The Computational Science (CLS) Department in the Computational Research Division
(crd.lbl.gov) is looking for talented and motivated postdoctoral fellows to become part of our
team working on exciting science research projects. Researchers in computer and data science
or any relevant computational science discipline who have received their Ph.D. within the last
three years are encouraged to apply. The successful applicant will receive a competitive salary
The CLS Department performs innovative research that enhances high performance
computational science application codes used in scientific discovery across a broad range of
scientific disciplines. Members of the Department collaborate broadly across Berkeley Lab, the
DOE National Laboratory community, and with academic, government and industrial institutions
internationally to enable breakthrough scientific discoveries that make essential use of
high-performance computing capabilities. Current research areas include data management and
analytics for biosciences, development of high-performance computing software for chemistry
and material science, modeling and analysis of extreme weather and climate events, developing
and deploying simulation and data analysis tools for cosmology, and delivering infrastructures for
scientific data exploration in experimental physics and X-ray science. More details on projects
crd.lbl.gov/departments/computational-science/
The successful applicant will be part of one of the multi-disciplinary teams in the department
working on a wide array of research and development project and will join one of the four CLS
groups. These groups and their mission/focus are listed below:
Biosciences Computing (BCG)
mission is to address key data management
challenges caused by the massive increase in the amount and range of biological data, the
difficulty of quantifying the quality of data generated using inherently imprecise tools and
techniques, and the high complexity of integrating data residing in diverse and sometimes poorly
s strategy involves using existing database technologies and
analysis methods, adapted as needed to a specific application, in order to address immediate
biological data management and bioinformatics requirements. Critical data management and
analysis problems that cannot be resolved using existing technologies and methods are pursued
as part of longer term R&D activities.
crd.lbl.gov/departments/computational-science
Computational Chemistry, Materials and Climate (CCMC)
scientific discovery through the development of scientific computing applications and capabilities
for the integration and analysis of complex data from simulation and experiment coming from
scientific application areas in atmospheric modeling and materials & chemical sciences. See
crd.lbl.gov/departments/computational-science/computational-chemistry-materials-
Computational Cosmology Center (C3)
is a focused collaboration of astrophysicists and
computational scientists whose goals are to develop the tools, techniques and technologies to
meet the analysis challenges posed by present and future cosmological data sets. See also
crd.lbl.gov/departments/computational-science/computational-cosmology-center/
Physics and X-Ray Science Computing (PHXS)
Group are embedded in large experimental
collaborations to provide cyberinfrastructure for scientific data analysis and exploration. This
includes architecting and developing frameworks and workflow, providing integrated data
analysis environments for large-scale scientific experiments. The group also designs, develops,
Postdoctoral Fellow - Computational Science Department
Job Description - Postdoctoral Fellow - Computati... https://lbl.taleo.net/careersection/cr/jobdetail.ftl
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