Opportunities at RegLab
Stanford RegLab is hiring! Come join a diverse, interdisciplinary, and highly motivated group to drive change in technology, data science, and government!
Recent high-profile work includes work on machine learning and demographic disparities in IRS audits (New York Times story), an award-winning collaboration for pandemic preparedness and public health (description here and Wall Street Journal story), pioneering work on satellite imagery for environmental protection (Scientific American story), modernization of social safety net systems (Department of Labor background here), AI tools for legal reform (Politico story), and extensive policy work on AI governance (Senate testimony here).
We hire for a range of positions throughout the year, including data scientist, policy analyst, postdoc, and predoctoral research fellow. If you are interested in getting involved, please submit your materials through our general interest form here. We review all submissions to our job postings and general interest form, but regret that we are not able to respond to direct inquiries. Thank you for understanding!
Research Assistants
We are almost always looking for motivated and engaged students who would like to use their skills to work on pressing social issues. Graduate, professional, and advanced undergraduate students with training in machine learning, data science, causal inference, and statistics are especially encouraged to reach out. Our preference is to support well-aligned direct research, thesis, or practicum projects by offering course credit. We may also have a limited number of paid research assistantships available each quarter. Please reach out through the general interest form with a brief cover note, CV, transcript, and a writing/code sample.
Postdoctoral Scholar
RegLab welcomes postdoc applications to work with us to tackle urgent research questions spanning legal AI, public sector AI, and AI policy and regulation. The postdoctoral fellow is expected to drive forward research progress in core project areas of the lab, developing, evaluating, and applying AI/ML methods to high-stakes governance problems. RegLab’s government partnerships surface research challenges that cannot be addressed with off-the-shelf methods, and the fellow will be expected to identify these gaps, propose solutions, and produce publishable work at the intersection of AI and public administration. See the full posting for more information. Please submit application materials through our general interest form. Review will begin October 1, 2026.