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DOE Computational Science Graduate Fellowship (CSGF)

06 Nov Posted by in Uncategorized | Comments

The U.S. Department of Energy’s Computational Science Graduate Fellowship (DOE CSGF) recently opened its new application cycle, with a deadline of January 8, 2013.  This award offers opportunities for new doctoral students to earn up to four years of financial support (along with a generous array of benefits and professional development opportunities) while pursuing degrees in fields of study that utilize high performance computing technology to solve complex problems in science and engineering.

The DOE CSGF is designed to fund students at the beginning of their doctoral studies.  The competition is open to U.S. citizens or permanent residents who are planning full-time, uninterrupted study toward a Ph.D. at an accredited U.S. university.  Senior undergraduate and first-year doctoral students (at the time of application) in engineering and in the physical, computer, mathematical or life sciences are eligible to apply.  Students who are in their second year of study in a doctoral program or beyond at the time of application are NOT eligible.

Benefits of the Fellowship:

  • $36,000 yearly stipend
  • Payment of all tuition and fees
  • $5,000 academic allowance in first year
  • $1,000 academic allowance each renewed year
  • 12-week research practicum at a DOE Laboratory
  • Yearly conferences
  • Career, professional and leadership development
  • Renewable up to four years

What is Computational Science, and What Kinds of Research are Funded?

From the DOE CSGF Application web site:

“Computational science involves innovative and essential use of high-performance computation, and/or the development of high-performance computational technologies to advance knowledge or capabilities in a scientific or engineering discipline. A necessary element in computational science is a strong, close tie to scientific or engineering application disciplines. For examples of research areas of interest to the DOE, see:
http://science.energy.gov/ and http://nnsa.energy.gov/.

“Despite the similarity of names, computational science is different from computer science, which focuses on general topics associated with computers and computation such as CPU and system architecture, operating systems, computer languages, compiler technology and networking. This fellowship program will not fund students who propose thesis research in traditional computer science.”
For more information regarding the fellowship and to access the online application, visit http://www.krellinst.org/csgf




						

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