BFI
Big Data Initiative · EXPECTED START DATE: JULY 2023

Research Professional: Big Data Initiative

Guillaume Pouliot, Assistant Professor, Harris Public Policy; Alexander Torgovitsky, Professor in Economics and the College, the Kenneth C. Griffin Department of Economics

The Becker Friedman Institute for Economics (BFI) is seeking to hire a Research Professional to work on new and ongoing research projects in econometrics, with a special focus on causal inference and machine learning. The Research Professional will work under the guidance of Professors Guillaume Pouliot and Alexander Torgovitsky. The Research Professional will be involved in the development, implementation, and application of advanced statistical models on the frontier of methodological research in economics.

The Becker Friedman Institute for Economics (BFI) works with the Chicago Economics community to turn its evidence-based research into real-world impact. BFI takes a unique approach to bridging the divide between academic researchers and decision-makers in the business community and government by translating and packaging the rigorous work of the Chicago Economics community into accessible formats, and proactively sharing those findings with relevant decision-makers and thought leaders around the globe. BFI is a collaborative platform serving the University of Chicago Booth School of Business, the Kenneth C. Griffin Department of Economics, the Harris School of Public Policy, and the Law School. For more information visit https://bfi.uchicago.edu and https://bfi.uchicago.edu/info-for/prep/.

The candidate is welcome to take advantage of immersion in the Chicago Economics community and to attend student and faculty research workshops.

Unit-specific Responsibilities

1) Lead developer of software with primary role in design and testing.

2) Writes documentation and distributes the software to repositories.

3) Develops demonstrations and applications of the software.

4) Proof-reads papers and presentations about the software.

Unit-preferred Competencies

1) Strong programming ability with background in multiple languages.

2) Ability to work independently and manage multiple projects simultaneously.

3) Excellent organizational skills and attention to detail.

4) Strong written skills.

5) Strong background with Python, R, and/or Julia.

6) Some knowledge of LaTeX.

Preferred Qualifications:

Education

  • Bachelor’s degree in economics, computer science, mathematics, statistics, or a related field; advanced degree preferred

Experience

  • Relevant research experience, especially with data, preferred

Technical Knowledge/Skills

  • Knowledge of Python, Matlab, R, and/or Julia required
  • Knowledge of LaTeX preferred

Required Documents

  • Resume/CV
  • Cover Letter (include earliest available start date)
  • Transcript (unofficial is ok)

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