The DOE CSGF is composed of two computational science tracks. Eligible fellowship candidates should carefully review the criteria for both tracks prior to initiating the application process:
- The Science & Engineering Track accepts doctoral students engaged in computational science research with a science or engineering focus.
- The Mathematics/Computer Science Track accepts students pursuing research in broadly applicable methods and technology for high-performance computing (HPC) systems. Students applying to the Mathematics/Computer Science Track must be pursuing a doctoral degree in applied mathematics, statistics, computer science or computational science — in one of these departments or their academic equivalent. A departmental exception is made for students whose research is focused on algorithms or software for quantum information systems and who are enrolled in a science or engineering field. In all cases, research must contribute to more effective use of emerging HPC systems.
DOE CSGF Science & Engineering Track
The fellowship supports doctoral students in fields of study that advance the use of 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 whose interests and plans match the Science & Engineering Track definition should apply here:
https://www.krellinst.org/doecsgf/application
DOE CSGF Mathematics/Computer Science Track
The program also supports 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 Science & Engineering Track, mathematics and computer science fellows need not focus on a particular science or engineering application, but instead must be developing broadly applicable methods and technology that support computational science using HPC.
Students performing research in computer science, computer engineering, or electrical engineering — including development of novel hardware technology, machine learning or broadly applicable software without a specific science or engineering focus — should apply to the Math/CS Track as these topics are considered broadly applicable research areas for the purposes of the DOE CSGF. Similarly, students performing research in applied mathematics or statistics with a focus on broadly applicable methods or technologies without a specific science or engineering focus should also apply to the Math/CS Track.
Additional details and examples of appropriate research areas can be found here.
Those who fit the Math/CS Track description should apply here:
https://www.krellinst.org/doecsgf/application/mathcs.shtml
Please contact us with questions regarding these two options.