Vannevar Bush Faculty Fellowship: White Paper Deadline


Wednesday, August 16, 2017 (All day)

Vannevar Bush Faculty Fellowship (formerly National Security Science and Engineering Faculty Fellowship)
Registration Deadline: August 14, 2017
White Paper Deadline: August 16, 2017
Award Amount: Up to $3M over five years
Eligible Applicants: Faculty with tenure and full-time research staff with the skills, knowledge, and resources necessary to conduct the proposed research. The PI must be a U.S. citizen or permanent resident.

The Vannevar Bush Faculty Fellowship supports innovative basic research within academia, as well as opportunities intended to develop the next generation of scientists and engineers for the defense workforce. This FOA seeks distinguished researchers for the purpose of conducting innovative basic research in areas of interest to the Department of Defense (DoD) and fostering long-term relationships between the VBFF Fellows and the DoD. As defined by the DoD, basic research is “systematic study directed toward greater knowledge or understanding of the fundamental aspects of phenomena and of observable facts without specific applications towards processes or products in mind. It includes all scientific study and experimentation directed toward increasing fundamental knowledge and understanding in those fields of the physical, engineering, environmental, and life sciences related to long-term national security needs. It is farsighted high payoff research that provides the basis for technological progress.” The VBFF is oriented towards bold and ambitious “blue sky” research that may lead to extraordinary outcomes such as revolutionizing entire disciplines, creating entirely new fields, or disrupting accepted theories and perspectives.

This FOA is for single investigator grant proposals for basic research in one or more of the following technical subject categories of interest to the DoD:

  • Engineering Biology
  • Quantum Information Science
  • Cognitive Neuroscience
  • Novel Engineered Materials
  • Applied Mathematics (theory and experiments) and Statistics
  • Manufacturing Science
  • Other fields of research with high potential