Energy Data Analytics Lab.

Deadline: March 1, 2019

The growth of energy-related data in the last decade has created new opportunities for data-driven exploration 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. Yet traditional graduate education is limited in its ability to provide such dual expertise. That’s why the Duke University Energy Initiative has 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. 

Each fellow will conduct a related research project for nine months, working with faculty from multiple disciplines. In addition to funding equivalent to one-half of a full fellowship for an academic year, fellows will receive conference travel support and data acquisition support up to $2,000, as well as priority access to virtual machines, storage, and other computational resources. The scholarship of the first two cohorts of fellows will be highlighted at a symposium at Duke University in Spring 2020.

The program, designed to support a cohort of four fellows in 2018-2019 and a second cohort of four in 2019-2020, 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 (Rhodes iiD), and the Social Science Research Institute (SSRI). The fellows program is funded by 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.)

The Energy Initiative is currently accepting applications for the second cohort of Energy Data Analytics Ph.D. Student Fellows (2019-2020).

  • Consider attending an information session on Feb. 1 or Feb. 22, when you will be able to meet the current fellows, hear about the program, and learn more about a specific data science topic or skill.
  • See the call for proposals below, or download a PDF, which provides more detail about the program, benefits, eligibility, and duration.

Call for Proposals

The growth of energy-related data in the last decade has created new opportunities for data-driven explorations of 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 PhD 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., energy technologies, systems, markets, and policies), and data science methods (e.g., statistics, machine learning, and other computational methods, especially as applied to “big data”). This work can span many disciplinary fields (including engineering, operations research, computer science, mathematics, environmental science, economics, public policy, 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 to Successful Applicants

  • Funding equivalent to 50% support for two semesters (for a total of one semester of funding)
  • Conference travel support and data acquisition support up to $2,000
  • Priority access to virtual machines, storage, and other computational resources
  • Participation in an Energy Data Analytics symposium in Spring

Student Eligibility

  • Any Duke doctoral student currently enrolled full time. 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 as defined above.
  • Doctoral student 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.

Fellowship Duration

Energy Data Analytics Fellows are expected to work on their proposed project for a minimum of one academic year (9 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).

Application Deadline

The deadline for application submission is March 1, 2019. The Energy Data Analytics Fellows application can be found at https://energy.duke.edu/energy-data-analytics-phd-student-fellows and should be submitted as a pdf document to Kyle Bradbury (kyle.bradbury@duke.edu) no later than 11:59pm on the day of the deadline.

Questions

Please contact Kyle Bradbury (kyle.bradbury@duke.edu) with any questions about this program.

Support

This fellowship program is made possible through a grant from the Alfred P. Sloan Foundation (https://sloan.org/). 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.