Fellowship responsibilities span all stages of research, including managing projects, collecting and analyzing data, creating presentations, and editing manuscripts. The research involves using quasi-experimental methods and globally comprehensive data to analyze climate and energy data. In addition to working closely with faculty as research assistants, pre-doctoral fellows typically attend classes and seminars at EPIC, the University of Chicago, and affiliate institutions.
Applicants must have completed a Bachelor’s or Master’s degree by June of the year they are applying, and have strong quantitative and programming skills. Candidates with research experience are strongly preferred, especially those with experience in Stata, R, Python or Matlab. The ideal candidate would begin in June and work for EPIC for one or two years before applying to graduate school in Economics or another quantitative social science. EPIC offers a competitive salary and employee benefits.
Applications for pre-doctoral fellowships are reviewed in fall and winter cycles. The fall deadline is in mid-November, with final decisions made in mid-December. The winter deadline is the beginning of March, with final decisions made around toward the end of March.