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NSFDirectorate for STEM Education

EPSCoR Graduate Fellowship Program (EGFP): AIM Fellows - Artificial Intelligence and Machine Learning Industry PhD Fellowships with data science, cybersecurity, and online safety

Active
Institution
University of Vermont & State Agricultural College, VT
Principal investigator
Christopher M Danforth
Funding
$954K
Duration
2027–2030
Open portfolio

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Abstract

The National Science Foundation (NSF), NSF EPSCoR Graduate Fellowship Program (EGFP) supports EGFP-designated institutions/programs in EPSCoR jurisdictions by providing funding for graduate fellowships for eligible applicants. Institutions receive a total of three years of stipend and associated cost-of-education (COE) allowance for each NSF EPSCoR Graduate Fellow. This award at the University of Vermont (UVM) seeks to enhance research competitiveness and capability through an investment in talent development. Fellow research topics will align with goals and programs supported by the NSF Directorate for Computer and Information Science and Engineering (CISE), and the Directorate for Technology, Innovation, and Partnerships (TIP). Research topics and activities will focus on translational AI and ML research and learning in a world-renowned interdisciplinary complex systems institute where researchers bring expertise in digital healthcare, security, modeling, and prediction. AIM Fellows will work with an industry partner and a faculty mentor who will facilitate the industry mentoring relationship. The fellowships will incorporate experiential learning rooted in real-world scenarios, collaboration with industry partners, and leverage relationships to advance NSF’s goal to build capacity for STEM research and innovation and economic growth. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Research team

  • Christopher M DanforthPI
  • Alexa WoodwardCo-PI

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