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Department of Energy Awards 18 Computational Science Graduate Fellowships
Ames, IA – In a continuing effort to address the shortage of
computational scientists in the United States, the Department of Energy
developed an effective and innovative fellowship program. Now in its seventeenth
year, the Department of Energy’s Computational Science Graduate Fellowship
Program (DOE CSGF) has been successfully training the next generation of
scientific leaders.
Jointly funded by the Office of Science and the National Nuclear Security
Administration’s Office of Defense Programs,
the Fellowship provides up to four years of support to students pursuing
a Ph.D. whose studies focus on using high-performance computing technology
to solve complex problems in science and engineering. Students selected for
the fellowships have backgrounds in a scientific or engineering discipline,
computer science, or applied mathematics, and agree to study and conduct
research in computational science.
The DOE CSGF provides fellows with benefits that include a yearly stipend of
$31,200; payment of all tuition and fees; and funds for computers and
travel to conferences. Fellows in this program participate in a highly
regarded annual fellowship conference and complete a three-month practicum
at a Department of Energy laboratory.
Each applicant for this highly competitive fellowship must provide a
transcript, GRE scores, and a detailed program of study; in addition,
three letters of reference are required from advisors, instructors
and employers familiar with the applicant’s background and capabilities.
These materials undergo careful scrutiny by a committee of distinguished
people from the academic world and DOE national laboratories.
The Krell Institute, which administers the Fellowship, takes pleasure in
announcing the awardees for the 2008-2009 academic year:
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Carl Boettiger
University of California, Davis
Biology–Ecology & Evolution
Eric Chi
Rice University
Bioinformatics/Computational Biology
Scott Clark
Cornell University
Computational Fluid Dynamics
Curtis Hamman
Stanford University
Flow Physics & Computational Engineering
Ying Hu
Rice University
Biomedical Engineering
Anubhav Jain
MIT
Materials Science & Engineering
Armen Kherlopian
Cornell University
Computational & Systems Neuroscience
Jeffrey Kilpatrick
Rice University
Computer Science
Kathleen King
Cornell University
Applied Operations Research
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Eric Liu
MIT
Aerospace Engineering and Mathematics
Brian Lockwood
University of Wyoming
Computational Fluid Dynamics
Douglas Mason
Harvard University
Physics
Matthew Norman
North Carolina State University
Atmospheric Sciences
Britton Olson
Stanford University
Computational Fluid Dynamics
Cyrus Omar
Carnegie Mellon University
Neural Computation
Claire Ralph
Cornell University
Theoretical Chemistry
Brenda Rubenstein
Columbia University
Chemical Physics
Anne Warlaumont
University of Memphis
Computational Developmental Psycholinguistics
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For more information on the Computational Science Graduate
Fellowship program, please contact the fellowship administrator, the
Krell Institute, at 515-956-3696,
visit the CSGF home page,
or email
csgf@krellinst.org .
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