Stanford Law School Empirical Research Fellowship

Description

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.

Commitment

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.

Responsibilities

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

Qualifications

  • 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

The first-round deadline for applying to the class of 2023-2024 closed on Monday, October 17, 2022. We do not plan to have a second round of applications this year. Hiring for the class of 2024-2025 will begin in fall 2023.

Questions

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

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.