Designed for graduating seniors or recent college or master’s program graduates, the Stanford Law School Empirical Research Fellowship provides a unique opportunity for those considering graduate school, law school, and/or business school in the future. Involvement in this fellowship opportunity allows participants to take and audit Stanford courses and attend on-campus lectures and seminars free of charge. In addition, incumbents in this fellowship will be eligible to take one course per quarter, not to exceed a maximum of 5 units (for which departments will pay a discounted fee), with approval from a faculty supervisor.
Qualifications
- Experience in quantitative disciplines, such as economics, political science, computer science, statistics, or applied math, typically gained through completion of an undergraduate degree in a related field.
- Training in causal inference and/or machine learning methods
- Effective oral and written communication skills
- Outstanding academic credentials and intellectual creativity
- Eagerness to take initiative and solve intricate problems
- Ability to work under deadlines with general guidance.
- Excellent time-management skills and ability to work effectively with minimal supervision
- Exceptional research and analytical writing skills
- Programming experience in R, Python, Stata, and/or other languages is strongly preferred
- Prior research experience and coursework in the empirical social sciences is preferred, but not required
The fellowship is full-time, starting in Summer 2027. Some applicants available to start earlier will also be considered. Fellowships last for one year, with the opportunity to renew for a second year based on performance and mutual agreement of the professor and fellow. The deadline for applications is 7:00AM PST on Friday, October 23, 2026. All applications received before this date are guaranteed to be read while there is a spot open. After this date we will still be accepting applications, however preference will be given to first round applications. Applicants with OPT are eligible to apply for this position.
Make sure to upload each of the following:
- Brief cover letter explaining your interest in the position and which graduate degree(s), if any, you hope to pursue
- Current resume
- Transcript (unofficial version acceptable)
- Short academic writing sample, preferably empirical or social science-related
- Contact information for no fewer than two academic references who can attest to your academic research skills and for any additional references who can speak to your character and professional skills
