The GRFP is a prestigious, nationally competitive fellowship offered by the National Science Foundation. It provides three years of financial support for beginning graduate study leading to a research-based master's or doctoral degree in the STEM disciplines.
The fellowship includes a $34,000-per-year stipend for three years. Additionally, each Fellow receives a tuition waiver via a $12,000 annual cost-of-education allowance that is awarded to the graduate institution. After one year of graduate study, Fellows become eligible to apply for international research funding support through Graduate Research Opportunities Worldwide (GROW) and Graduate Research Internship Program (GRIP). Fellows may request access to cyberinfrastructure resources, including supercomputing time, through the Extreme Science and Engineering Discovery Environment (XSEDE). Supplemental funding for researchers with disabilities and a leave provision for dependent care issues are also offered.
Citizenship: Must be a United States citizen, US national, or a permanent US resident by the application deadline. Refer to the GRFP solicitation.
*Always refer to the current NSF-GRFP Solicitation for official eligibility information.
The GRFP competition opens in late summer with submission deadlines in late October. Awards are offered the following spring. Fellows must commence graduate study in the summer or fall after accepting the award. About 2,000 fellowships will be offered.
Whereas the National Science Foundation awards grants to investigators to fund their research, the Graduate Research Fellowship Program funds students who are training to become well-rounded researchers. It's a fine distinction, but an important one.
An important reason to apply is that a significant part of the application is about assessing your confidence in yourself. Even if you don't receive the fellowship, applying can boost your confidence that you have the tools and ability to plan and propose research, which is essential to succeed in graduate school.
'11 Fellow, Plant Sci