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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:

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

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

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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