The Climate Impact Lab’s team of economists, climate scientists, data engineers, and risk analysts are building the world’s most comprehensive body of research quantifying the impacts of climate change sector-by-sector, community-by-community around the world. This research will allow decisionmakers in the public and private sectors to understand the risks climate change presents and mitigate those risks through smarter investments and public policy. The research will also produce the world’s first empirically-derived estimate of the social cost of carbon — the cost to society from each ton of carbon dioxide emitted. This figure can serve as the basis for energy and climate policies.
Successful candidates will work with the Climate Impact Lab under the direction of Michael Greenstone. Responsibilities span all stages of research, including managing projects, collecting and analyzing data, creating presentations, and editing manuscripts. Typical research projects involve the analysis of environmental and energy data from the United States, India, China, and other countries utilizing quasi-experimental and experimental methods, as well as development of computational economic models of energy markets. 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.
The program is intended to serve as a bridge between college and graduate school for students interested in empirical economics. People in this or similar positions have gone on to Economics Ph.D. programs at Harvard, MIT, University of Chicago, University of California, Berkeley, and similar schools upon completion of this program.
The current application deadline is June 23, 2019 with final decisions made around July 15, 2019. To apply, please visit https://www.epicpredoctoralfellowship.com.
Applicants must have completed a Bachelors or Master’s degree by June 2019 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 summer or fall 2019 and work for EPIC for one or two years before applying to graduate school in Economics or another quantitative social science. EPIC offers competitive salary and employee benefits.
