Plug Into Energy Data This Summer as a Ph.D. Student Fellow

Abstract matrix of blue-toned lines, graphs, numbers in background. Logos for Nicholas Institute and Duke University Energy Initiative in overlapping rings. Logo for Alfred P. Sloan Foundation. Text: Energy + Data? Are you a Ph.D. student interested in applying data science techniques to energy challenges? Doctoral students at Duke, NC A&T, NC State, UNC-CH, UNCC, and UNCG are invited to apply for the Summer '22 cohort of interdisciplinary Energy Data Analytics Ph.D. Student Fellows. Apply by 12/10/21: .

Deadline: December 10, 2021

Are you a full-time Ph.D. student interested in energy and data science? The Duke University Energy Data Analytics Ph.D. Student Fellows Program is accepting applications for its Summer 2022 cohort. Fellows will receive financial support to pursue summer research projects applying data science techniques to energy application areas. Cross-disciplinary workshops with faculty and peers will help strengthen fellows’ research, enrich their understanding of energy and data science topics, and boost their scholarly communication skills.

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.

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. In 2018, the Duke University Energy Initiative established the Energy Data Analytics Ph.D. Student Fellows program, preparing cohorts of next-generation scholars to deftly wield data in pursuit of accessible, affordable, reliable, and clean energy systems. This program is 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 financial support 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 and practices as well as to enhance their skills at collaborating and communicating across disciplines.

The first three cohorts of fellows have included doctoral students from degree programs in civil and environmental engineering, computer science, earth and ocean sciences, electrical and computer engineering, environmental policy, and parks, recreation, and tourism management. The program welcomes applications from 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 program is affiliated with the Energy Data Analytics Lab, a collaborative effort of the Duke University Energy Initiative (which houses it), the Rhodes Information Initiative at Duke, and the Social Science Research Institute. (Note: Conclusions reached or positions taken by researchers or other grantees represent the views of the grantees themselves and not those of the Alfred P. Sloan Foundation or its trustees, officers, or staff).

Learn More and Apply

Learn more, then submit your application to Trey Gowdy ( as a PDF by 5:00 p.m. ET on Dec. 10, 2021 and ask your faculty project advisors to submit their nomination letters by the same date.


Contact Trey Gowdy (, Program Coordinator for the Energy Data Analytics Lab.