EMPIRICAL RESEARCH FELLOW, STANFORD LAW SCHOOL
Full-time, starting Summer 2024. 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.
Description:
Assist faculty members at Stanford Law School in conducting timely and policy-relevant research in empirical social science, including economists John J. Donohue, Daniel Kessler, and Alison Morantz. 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.
Job responsibilities will 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
Job 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:
We are currently accepting applications for the class of 2024 – 2025. To apply, please fill out and submit the application online at law.stanford.edu/research/sls-fellowships/empirical-research-fellowship. If you have any additional comments or questions, please see the FAQs on the fellowship website above.
