Research Professional – Koichiro Ito (Full-Time, Benefits Eligible)

Job Title: Research Professional – Koichiro Ito (Full-Time, Benefits Eligible) 

Location: Chicago, IL – Hyde Park Campus, Saieh Hall  

Expected: Start Date: Summer 2027

For questions about this position, please email bfipredoc@uchicago.edu  

 About the Department 

The Energy Policy Institute at the University of Chicago (EPIC) produces data-driven research that advances society's understanding of the global energy challenge and translates research insights into real-world impacts through strategic outreach and training for the next generation of global energy leaders. EPIC’s pre-doctoral fellowship program serves as a one- or two-year bridge program between college and a doctoral program.  Recipients gain an in-depth understanding of the entire research process while undergoing intensive career development as part of a close-knit community. Learn more at https://epic.uchicago.edu/about/jobs-fellowships/fellowships/predoctoral-fellows/predoctoral-fellowship-program/about/.   
  
Job Summary 
The Research Professional will report to Koichiro Ito, Professor at University of Chicago Harris School of Public Policy. Research projects will focus on evaluating various energy and environmental policies in the US, Japan, China, India, Chile, and other countries by using a variety of methods such as randomized controlled trials, quasi-experimental research design, and structural estimation. 

 
The Research Professional’s responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running simulations, and preparing manuscripts and presentations. 

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. 

Responsibilities 

• Cleans and analyzes data. 

• Writes or finalizes replicable data files or scripts for publication. 

• Ensures compliance of research activities with institutional, state, and federal regulatory policies, procedures, directives, and mandates. Analyzes possible solutions using standard procedures. 

• Assists with writing data analysis plans and contributes to preparing study registration documents. 

• Supports the implementation of field experiments including supporting the design and implementation of surveys, and monitoring the quality of data collected, when needed. 

• Supports with writing of grant and policy reports and assists with drafting presentations of research findings. 

• Takes responsibility for the following non-laboratory duties: transcribing and coding data; developing data collection instruments; presenting research; and recruiting and scheduling research subjects. Acquires higher-level skills and knowledge in the process. 

• Maintains technical and administrative support for a research project. 

• Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents. 

• Performs other related work as needed. 

 

Minimum Qualifications 
 

Education:  

Bachelor’s degree from an accredited institution. 

Technical Skills or Knowledge:  

Experience with Stata, Python, Matlab, and/or R 

Experience: 3 months to one year of work experience in a related job discipline. Experience gained through coursework may be counted as relevant experience.  

• Experience in econometrics. 

• Advanced coursework in Economics or Mathematics.  

• Familiarity in analyzing large data sets, applying econometrics methods. 

• Knowledge of machine learning techniques in data analysis. 

• Familiarity with statistical analysis packages such as Stata, R, or Python. 

• Strong written and verbal communication skills. 

• Manage multiple projects simultaneously and meet tight deadlines. 

• Work both independently and as a team member. 

• Excellent organizational skills and attention to detail.