Research Professional – Eyal Frank

Research Professional – Eyal Frank (Full-Time, Benefits Eligible)

Chicago, IL

Job Title:

Research Professional (RP)

Location:

Chicago, IL

Salary Ranges: $55,000–62,000 annual salary, additional $2,000 professional development fund

Terms:

Seeking a Research Professional for a period of at least one but ideally two years

Projects:
The Economics of Climatic Tail Events, Ecosystems & Agriculture

Expected

Start Date:

October 1, 2026 or sooner

Hiring

Note:

This position is funded by a grant that restricts eligibility to candidates who do not hold a master's degree or higher. Applicants with a master's degree are not eligible for this role.

The Energy Policy Institute (EPIC) is seeking to hire a full-time Research Professional to work with Professor Eyal Frank on a research project using causal inference methods to answer questions regarding the social costs of extreme weather events, their impacts on biodiversity losses, and how those, in turn, affect agricultural production, and whether farmers are able to substitute for the loss in ecosystem services.

This project studies a simple question: when extreme weather kills animals that help farms, do crops suffer afterward? Climate change may damage agriculture not only through heat, drought, or storms directly, but also by damaging ecosystems that provide services like pollination and pest control. The analysis will focus, at first, on two natural experiments where large die-off events sharply reduced the population levels of species that provide biological pest control, or pollination services.

The research design will compare crops that depend on these animals with crops that do not, in addition to comparing outcomes before and after the wildlife losses, using weather data to separate the effect of the animal die-off from the direct effect of the weather itself. The project will use causal inference methods, as well as recent advances in machine learning methods in augmenting causal inference analysis.

In addition, the projects will use satellite-derived remote sensing data, weather reanalysis data, agricultural production data, data on agri-chemical input use, and data agricultural property transactions. As a result, working on this project will prepare the research professional for pursuing a variety of research interests at the intersection of environment, ecology, conservation, and agricultural productivity.

Applicants must have completed a Bachelors degree by June 2026 and available to begin work no later than October 1, 2026. The Research Professional's responsibilities span all stages of research, including managing projects, collecting and analyzing data, creating presentations, and editing manuscripts. In addition to working closely with faculty as research assistants, pre-doctoral fellows are able to take graduate-level courses in economics and other disciplines and attend 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. Applicants must 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 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.

• Under limited direction, performs complex lab and/or research-related duties and tasks;
• Collects, records and analyzes data;
• Conducts literature reviews;
• Participates in writing reports and manuscripts;
• Ensures compliance with institutional, state, and federal regulatory policies, procedures, directives, and mandates;
• Trains and oversees the work of research support personnel;
• Transcribing and coding data; developing data collection instruments;
• Presenting research findings at staff meetings, seminars, and scientific conferences;
• Assisting with building databases;
• Recruiting and scheduling research subjects.

• Ability to train others
• Advanced…