Deadline: February 28, 2018
The Energy Initiative is now accepting applications for the first cohort of Energy Data Analytics Ph.D. Student Fellows.
The growth of energy-related data in the last decade has created new opportunities for data-driven explorations of solutions to energy problems. Capitalizing on the opportunities presented by this new wealth of data will require scholars with training in both data science and energy application domains. Recognizing this—and the fact that traditional graduate training is limited in its ability to provide such dual expertise—this doctoral student fellows program aims to train a cohort of next-generation scholars who, working with faculty from multiple disciplines, will draw on knowledge in energy application areas (e.g., engineering, operations research, economics, policy, or closely related fields) and data science methods (e.g., computer science, mathematics, or closely related fields) to leverage burgeoning sources of energy data to affect the evolution of energy systems and the policies that govern them.
Benefits for Successful Applicants
- Funding equivalent to one-half of a full fellowship for an academic year
- Conference travel support and data acquisition support up to $2,000
- Priority access to virtual machines, storage, and other computational resources
- Participation in a symposium in Spring 2020
- Any Duke doctoral student currently enrolled full time is eligible. The student must be working with (or proposing to work with) two faculty members representing interdisciplinary expertise across both an energy application domain and a data science field.
- Doctoral students must show evidence of genuine interest in research on important energy data analytics topics that play a role in their larger dissertation objectives.
- Applicants must be making successful academic progress in their home department.
- Doctoral students as early as their second year at Duke can apply to be an Energy Data Analytics Fellow during the next academic year. Preference will be given to students who have completed coursework by the beginning of their fellowship term.
Energy Data Analytics Ph.D. Student Fellows are expected to work on their proposed project for a minimum of one academic year (nine months). Preference will be given to students who incorporate the proposed project into their dissertation research. The fellowship will begin at the start of the fall semester (September 1) and end the following spring (May 31).
This fellowship program is made possible through a grant from the Alfred P. Sloan Foundation.
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.
Please contact Kyle Bradbury with any questions about this program.