Fellowship Undergraduate Graduate

Department of Energy Computational Science Graduate Fellowship

Krell Institute

Varies
Avg. Amount Awarded
Varies
Application Deadline
26
Awarded last year
Yes
Renewable
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Department of Energy Computational Science Graduate Fellowship
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Description

The DOE CSGF provides outstanding benefits and opportunities to students pursuing doctoral degrees in fields that use high-performance computing to solve complex science and engineering problems. In 2018, the DOE CSGF added a new track for those pursuing an advanced degree in applied mathematics, statistics or computer science with research interests that help use emerging high performance systems more effectively. Students in this track will focus on issues in high-performance computing as a broad enabling technology and not on a particular science or engineering application. Please visit www.krellinst.org/csgf for more information regarding the fellowship.

Eligibility Requirements

  • CheckmarkMust be a graduate student
  • CheckmarkMust attend a university or a four-year college
  • CheckmarkCitizenship requirements: US
  • CheckmarkMust study full-time
  • CheckmarkRestricted to students studying Biology, Chemical Engineering, Computer Science/Data Processing, Civil Engineering, Electrical Engineering/Electronics, Energy and Power Engineering, Engineering-Related Technologies, Earth Science, Engineering/Technology, Environmental Science, Meteorology/Atmospheric Science, Marine Biology, Mechanical Engineering, Mathematics, Marine/Ocean Engineering, Materials Science, Engineering, and Metallurgy, Neurobiology, Natural Sciences, Nuclear Science, Oceanography, Physical Sciences, Statistics

How to Apply

What you'll need:

  • Checkmark Application Form
  • Checkmark Essay
Contact leilts@krellinst.org Lindsey Eilts
DOE CSGF Program Coordinator
csgf@krellinst.org
Tel: 515-956-3696 Address 1609 Golden Aspen Dr.
Suite 101
Ames, IA 50010