This proposed grant will provide partial funding for four Ph.D. students per year for two years (eight total) to conduct research on energy data analytics at Duke University’s Energy Data Analytics Lab (EDAL). Candidates will be drawn from a range of natural and social science disciplines—economics, engineering, environmental science, computer science, statistics, mathematics—and will be required to have faculty supervisors drawn from both energy-related domains and data-science relevant disciplines. Each pre-doctoral fellow will be expected to produce at least one paper that emerges from their fellowship research. All datasets produced will be made available through the EDAL repository. Fellows will has access to EDAL’s high performance computing environments and have the opportunity to lead an undergraduate energy data science team over a summer term. An Energy Data Analytics Symposium will be held at the end of the grant period to feature student work and that of invited internal and external senior scholars.