Supported by the Alfred P. Sloan Foundation, the Energy Data Analytics Ph.D. Student Fellows program at Duke University readies emerging scholars to apply cutting-edge data science techniques to energy challenges.
The program is open to doctoral students at Duke University, North Carolina A&T State University, North Carolina State University, University of North Carolina at Chapel Hill, University of North Carolina at Charlotte, and University of North Carolina at Greensboro.
The Energy Data Analytics Ph.D. Student Fellows Program has closed applications for summer 2023. Applicants will be notified by mid-February 2023.
Questions? Contact Trey Gowdy (email@example.com), Research Lead for the Energy Data Analytics Lab.
About the Fellows Program
The recent growth of energy-related data and evolution of data science techniques have created promising new opportunities for solving energy challenges. Capitalizing on these will require scholars with training in both data science and energy application domains. Yet traditional graduate education is limited in its ability to provide such dual expertise.
Established in 2018, the Energy Data Analytics Ph.D. Student Fellows program at Duke University prepares cohorts of next-generation scholars to deftly wield data in pursuit of accessible, affordable, reliable, and clean energy systems. This program is housed by the Nicholas Institute for Energy, Environment & Sustainability at Duke and funded by a grant from the Alfred P. Sloan Foundation.
Each Ph.D. Student Fellow in the program conducts a related research project, working with faculty from multiple disciplines and receiving funding for 3 months of summer support and $1,500 in research funds for computation and professional development. The fellows take part in regular mentorship and training workshops to improve their understanding of energy systems and data science tools as well as to enhance their skills at collaborating and communicating across disciplines.