Stanford University
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2 weeks ago
Postdoctoral Fellow in AI for Public Benefit, Behavioral Science, and Social Change at Stanford University Stanford University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time postdoctoral appointment at Stanford University with an initial one-year term, intended to continue for a second year subject to progress, program need, continued funding, and Stanford approval. Expected base pay range is $80,000-$90,000. Eligible medical, dental, vision, and life-insurance coverage is included through Stanford's postdoctoral benefits provisions.
Deadline
Oct 31, 2026
Country
United States
University
Stanford University
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About this position
Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI), in partnership with the AI for Public Benefit Lab (AI4PB) and the Politics and Social Change Lab (PASCL), is inviting applications for a postdoctoral fellow under the mentorship of Professor Robb Willer.
This interdisciplinary position sits at the intersection of artificial intelligence, behavioral science, democracy, social services, emotional well-being, and persuasion. The fellow will help advance research on how AI can make a measurable difference in people’s lives, including projects on trustworthy political information, nonpartisan LLM voter guides, and benchmarking AI systems for accuracy and political neutrality. The role also allows room for independent work in human-centered AI and public benefit.
Research methods and topics mentioned include retrieval-augmented generation, source-grounding, evaluation infrastructure, large-scale field experiments, survey experiments, causal inference, text analysis, machine learning, and responsible AI evaluation. The post emphasizes collaboration across sociology, psychology, political science, computer science, and policy, with opportunities to work with researchers, practitioners, and civic partners.
The appointment is full-time at Stanford University, initially for one year and intended to continue for a second year depending on progress, program need, continued funding, and university approval. The expected base pay range is $80,000–$90,000, and the appointment includes eligible medical, dental, vision, and life-insurance coverage through Stanford’s postdoctoral benefits.
Eligibility requires a completed PhD by the start date in computer science, data science, human-computer interaction, psychology, sociology, political science, communication, economics, or a related field. Applicants should have strong quantitative/computational research skills, a record of rigorous and creative research, excellent communication skills, and the ability to work collaboratively and independently. Preferred experience includes LLMs, NLP, transformer-based models, Python, political bias/fairness/neutrality evaluation, and large-scale online or field experiments.
Applications are reviewed starting October 31, 2026 and then on a rolling basis until the position is filled. To apply, submit the application form along with a CV, a statement of interest, two or three writing samples, and three references.
Funding details
Full-time postdoctoral appointment at Stanford University with an initial one-year term, intended to continue for a second year subject to progress, program need, continued funding, and Stanford approval. Expected base pay range is $80,000-$90,000. Eligible medical, dental, vision, and life-insurance coverage is included through Stanford's postdoctoral benefits provisions.
What's required
PhD completed by the appointment start date in computer science, data science, human-computer interaction, psychology, sociology, political science, communication, economics, or a related field. Applicants should have a record of rigorous, creative research; strong quantitative or computational research skills relevant to field experiments, survey experiments, causal inference, text analysis, machine learning, or related methods; excellent written and oral communication skills; ability to work collaboratively across disciplines and organizations; strong organizational and interpersonal skills; and interest in communicating research to non-academic audiences. Preferred experience includes large language models, NLP, transformer-based models, retrieval-augmented generation, Python, evaluating political bias/fairness/neutrality/trustworthiness/source fidelity in AI systems, large-scale online or field experiments, administrative or voter-file data, civic technology, and a strong publication record.
How to apply
Submit the application through Stanford's Qualtrics form linked in the post. Include a CV, a statement of interest (max 1.5 pages), two or three writing samples, and names/contact information for three references. Applications are reviewed starting October 31, 2026 and then on a rolling basis until filled.
More information can be found here
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