Empirical Research Fellow

This is an excellent opportunity for a recent graduate who is considering preparing for a doctoral program in Economics or Finance. As an Empirical Research Fellow, you will collaborate with faculty and PhD students at the Kellogg School of Management to work on empirical or theoretical economics research projects. You will typically work on multiple projects at a time, and your contributions might span all aspects of the research life cycle.

Candidates should have an interest in applying for a quantitative Ph.D. program, preferably in Economics or a related field, and pursuing an academic research career. The ideal candidate will have:

a strong quantitative background;

strong computer skills including programming;

past experience with research, including independent work (such as an undergrad thesis) or work as a research assistant.

A background in Economics is a plus, but not necessary; in fact, we encourage candidates with strong technical backgrounds who are looking to receive more exposure to Economics or Finance.

Potential research duties vary, but may include: collecting and validating new research datasets, performing statistical analyses on large databases, programming simulations of theoretical models, and proving theoretical results.

Successful candidates will have completed at least bachelor’s degree by the employment start date. If selected, you will be offered a one-year appointment, with the ability to renew for one year based on performance.

Required Qualifications

Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor’s or higher degree.

Required Skills

A strong understanding of applied statistical concepts;

Programming skills using at least one commonly used statistical programming language – such as R, Stata, Matlab, and/or SAS;

Strong habits documenting datasets and program code;

Demonstrated ability to work independently to solve problems; and

A long-term interest in pursuing research in Economics, Finance, or a related field.

Knowledge of theoretical concepts and common datasets used in Economics or Finance is desired, but not required.