Stanford Law School Empirical Research Fellowship


Assist faculty members at Stanford Law School conducting timely and policy-relevant research in empirical social science, including economists John J. Donohue and Daniel Kessler. Designed for graduating seniors or recent college or master’s program graduates, the fellowship provides a unique opportunity for those considering graduate school, law school, and/or business school in the future.

Prior Research Fellows have matriculated to Ph.D. programs at Harvard, Stanford, Yale, MIT, Princeton, Columbia, and NYU and law school at Harvard, Yale, Stanford, and Columbia. They have been drawn from a variety of undergraduate disciplines, including economics, political science, applied math, public policy, statistics, and computer science.

Successful applicants will be matched with a specific professor based on background and interests. As full-time Stanford University employees, fellows will receive a competitive salary and benefits package, including medical, dental, and vision insurance, access to campus athletic and academic facilities, paid vacation time, professional development funds, and the capacity to audit Stanford courses and attend on-campus lectures and seminars free of charge.


Full-time, starting Summer 2023. Some applicants available to start earlier will also be considered. Fellowships last for one year, with an option to renew for a second year by mutual agreement of the professor and the fellow.


Job responsibilities vary by position, but involve all aspects of the research process including:

  • Conceptualization of suitable empirical methodologies and models
  • Collecting, managing, and structuring quantitative datasets
  • Statistical analyses of complex datasets and interpretation of results
  • Communication with government officials, industry stakeholders, and research collaborators
  • Report writing and manuscript preparation


  • Experience in a quantitative discipline, such as economics, political science, computer science, statistics, or applied math
  • Training in causal inference and/or machine learning methods
  • Bachelor’s degree, preferably in the social sciences or another relevant field
  • Outstanding academic credentials and intellectual creativity
  • Eagerness to take initiative and solve intricate problems
  • Excellent time-management skills and ability to work effectively with minimal supervision
  • Exceptional research and analytical writing skills
  • Programming experience in R, Python, Stata, SAS, and/or other languages is strongly preferred
  • Prior research experience and coursework in the empirical social sciences is preferred, but not required

How to Apply

To apply for the fellowship, please fill out the application form below.

There will be two rounds of application review. The deadline for the first round is 7:00AM PST on Monday, October 17, 2022. The deadline for the second round will be decided in late October. Applications will be evaluated on a rolling basis and preference will be given to first-round applicants. The fellowship is open to international applications. Applicants with OPT are automatically eligible for this position. Depending on the circumstances, applicants who require J-1 visa sponsorship may also meet the eligibility requirements.

Make sure to upload each of the following in the application form below:

  • 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


Please see our FAQ page. If your question is not addressed there, please email us at Do not contact the professors or their support staff with any questions about hiring.

Fellowship Application Form

Please fill out this application form to be considered for the Stanford Law Empirical Research Fellowship.

Note: Do not use this form to submit High Risk Data.

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability that requires accommodation to perform the essential functions of their job. Additionally, Stanford is an equal employment opportunity and affirmative action employer. All qualified applications will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.