The University of Chicago Energy & Environment Lab (E&E Lab) partners with agencies at the federal, state and local level to identify, rigorously evaluate, and help scale programs and policies that reduce pollution and improve environmental outcomes, while ensuring access to reliable and affordable energy. The E&E Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials, behavioral economics, and machine learning, to help policymakers identify and generate evidence on innovative approaches and policy solutions to their most pressing environmental and energy challenges.
The E&E Lab is seeking a Predoctoral Fellow (Project Associate) with strong research, methodological, and programming skills to support environmental policy research projects. The fellow will work on a portfolio of projects designed to evaluate the impact of promising energy and environmental interventions. Typical research projects involve the analysis of environmental and energy data, utilizing quasi-experimental and experimental methods to provide government partners with guidance on key policy questions. The successful candidate will have experience with data management, econometrics, and statistical modeling. The fellow will contribute to all aspects of research, including data collection, model development, and implementation. This position requires an individual who is able to work as part of small research teams, and on multiple projects concurrently, while also being self-directed and independent. The position offers the opportunity to work directly with leading policy researchers and faculty at the University of Chicago and other universities, and policymakers in state and local environmental agencies.