The DOE CSGF accepts doctoral students engaged in application-focused computational science research and those pursuing applied mathematics, statistics, computer science or computational science research enabling the use of emerging high-performance computing (HPC) systems without a specific application. Together, they will meet the DOE's growing needs to build and efficiently operate the latest, most powerful HPC systems and apply those systems to problems of national importance.
DOE CSGF Science & Engineering Track
Since 1991, the DOE CSGF has supported doctoral students in fields of study that advance the use of high-performance computing (HPC) to solve specific, complex science and engineering problems. These fields span science and technology, ranging from engineering to biological sciences and from astrophysics to geophysics.
Those who fit this DOE CSGF Science & Engineering Track definition should apply here:
https://www.krellinst.org/doecsgf/application
DOE CSGF Mathematics/Computer Science Track
In 2018, the DOE CSGF expanded to accept doctoral candidates researching HPC-enabling technologies in applied mathematics, statistics, computer science or computational science — in one of these departments or their academic equivalent. Unlike students in the DOE CSGF's Science & Engineering Track, mathematics and computer science fellows need not focus on a particular science or engineering application. You can find additional details and examples of appropriate research areas here.
Those who fit the DOE CSGF Math/CS Track description should apply here:
https://www.krellinst.org/doecsgf/application/mathcs.shtml
Please contact us with questions regarding these two options.