DoD Announces Class of 2022 for Scientific Fellowship – MeriTalk

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The Department of Defense (DoD) has announced its 2022 class of Vannevar Bush Faculty Scholars (VBFF) — comprised of nine distinguished faculty scientists and engineers — to advance transformative academic basic research.

The 2022 Fellows will join the approximately 50 current Fellows conducting basic research in areas important to the DoD, including materials science, cognitive neuroscience, quantum information science, and applied mathematics. Each fellow will receive up to $3 million over the duration of the five-year fellowship to pursue cutting-edge basic research projects.

Additionally, fellows can engage directly with the DoD enterprise to collaborate with Pentagon laboratories and share information with DoD leaders and the broader national security community.

“The [VBFF] is the most prestigious research grant in the Department,” said Dr. Jean-Luc Cambier, director of the VBFF program, in a press release. “It is geared towards bold and ambitious ‘blue sky’ research that will lead to extraordinary results that have the potential to revolutionize entire disciplines, create entirely new fields, or disrupt accepted theories and perspectives.”

The VBFF is a highly competitive scholarship named in honor of Dr. Vannevar Bush, who led the Office of Scientific Research and Development after World War II. The scholarship is sponsored by the Office of Basic Research within the Office of the Undersecretary of Defense for Research and Engineering.

Some of the research projects include:

  • “The Next Generation of Operator Regression Networks: Theory, Algorithms, Applications” by George Karniadakis of Brown University;
  • “Data-Driven Acceleration and Computational Pattern Discovery” by Andrew Stuart of the California Institute of Technology;
  • “Scalable Generation and Control of Large Quantum States of Light and Matter in Engineering Semiconductor Materials” by Jelena Vuckovic of Stanford University;
  • “Quantum System Scaling and Benefit for Basic and Applied Sciences” by Jun Ye of the University of Colorado; and
  • “Dissecting the Neural Circuit Basis for Willpower: A New Framework for Brain-Machine Interface” by Mark Schnitzer of Stanford University.

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