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Find similar grantsSAIL Postdoctoral Fellows is sponsored by Stanford Artificial Intelligence Laboratory (SAIL). Supports outstanding candidates to advance groundbreaking research with Stanford AI faculty in all areas of artificial intelligence and machine learning, including robotics, statistical machine learning, generative AI, reinforcement learning, computer vision, natural language pr…
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We support innovative AI research that bridges disciplines and fields. We appoint and support promising researchers working at intersections often overlooked by traditional academic departments, in addition to outstanding researchers pursuing core disciplinary topics.
HAI Postdoctoral Fellowship Program Stanford HAI Data Science Scholars Program Stanford Digital Economy Lab (DEL) Postdoctoral Fellowships SAIL Postdoctoral Fellows Embedded Ethics Postdoctoral Fellows Tech Ethics & Policy Fellowship These scholars represent a diverse range of research, from education data science to digital health innovation, AI safety and ethical development, energy science, psychology, geophysics, AI literacy, and precision medicine.
For questions related to the Stanford Institute for Human Centered Artificial Intelligence fellowship programs HAI’s Postdoctoral Fellowship Program offers opportunities to explore topics, conduct research, and collaborate across disciplines related to AI technologies, applications, or impact.
Fellows will have the opportunity to contribute to the research goals of the faculty/lab/center/research team they will join, in addition to advancing their own scholarship and research skills.
In the spirit of cross-disciplinary collaboration and community building, fellows will also be required to engage in HAI programming to develop the skills necessary to further their research, careers, and the mission of HAI: advancing AI research, education, policy, and practice to improve the human condition.
HAI is particularly interested in applicants doing research at the frontiers of artificial intelligence with other disciplines, including but not limited to the humanities, business, education, law, medicine, and physical and social sciences. The application for Stanford faculty to apply to host an HAI-funded postdoctoral scholar closed in March. We expect to send out decisions in June 2026.
The Stanford HAI Data Science Scholars Program brings together the HAI Graduate Fellows and SDS Data Science Scholars programs into a unified, two-year fellowship for exceptional PhD students .
The program combines substantial research funding , including a ~$29K annual stipend, 50% tuition support, and a $2,000/year research allowance, with a structured, collaborative community designed to develop the next generation of interdisciplinary leaders in data science and AI .
Spanning all seven Stanford schools, the program supports existing Stanford PhD students whose work advances the foundations, applications, and human dimensions of data science and AI .
This includes foundational research on methods, models, and theory; applied research across domains such as scientific discovery, health and biomedicine, mental health, language and culture, education, and the arts; and research on the ethical, societal, and policy implications of these technologies.
Scholars are selected for the significance of their research questions , the rigor of their methods , and their commitment to interdisciplinary collaboration . The program is designed to create a critical mass of early-career researchers whose collective work reflects the full breadth of HAI’s mission, spanning scholarly discovery, educational transformation, and societal impact.
Application Period: April - June 17, 2026 Decisions: Mid-summer; program begins Fall Quarter, first week of classes See Program Details and Eligibility DEL is currently seeking Postdoctoral Fellows. Positions focus on key topic areas related to the digital economy. Each hire will have a priority project, led by Professor Erik Brynjolfsson, as well as the opportunity to work with other Stanford faculty and PIs on additional topics.
Priority projects will be shaped based on shared interests, available data, and alignment with DEL’s research priorities. The Stanford Artificial Intelligence Laboratory (SAIL) invites applications for the Stanford AI Lab Postdoctoral Fellows Program. These positions will support outstanding candidates to advance ground breaking research with Stanford AI faculty.
Stanford University is one of the world's top universities, and has been a leader in AI since its inception. Stanford is also considered the birthplace of Silicon Valley. SAIL is a fun, dynamic, and community-oriented place, providing many opportunities for learning, teamwork and breakthroughs.
We are seeking applicants doing research at the forefront of all areas of artificial intelligence and machine learning, including robotics, statistical machine learning, generative AI, reinforcement learning, computer vision, natural language processing, genomics, healthcare, AI’s societal impact and AI-connected cognitive and neuroscience.
Positions are funded for two years with a possible start date from September 1, 2026 to Jan 1, 2027. Applicants must have completed their Ph. D.
before they start the fellowship. All applications should be submitted here (Note: This requires a Google Account so that documents can be uploaded. If you are unable to do this, you may email us the required materials at sail-fellows-program@stanford.
edu ) and should include: A curriculum vitae with links to publications and developed software; A brief (2 pages maximum) research statement addressing your prior work and the specific future areas that you hope to work on. The 2 or more Professors at SAIL you are interested in working with for the fellowship. Your preferred start date The names and contact information of two references.
Two reference letters should be sent to us the recommender by December 15, 2025 directly through the reference form here . Review of applications will begin on December 15, 2025 , and applicants are strongly encouraged to submit complete applications by that date for full consideration; however, applications will continue to be accepted after the deadline.
Stanford Embedded Ethics is a collaborative program that embeds the teaching of ethics directly into the core undergraduate courses of Stanford’s computer science curriculum. Working in collaboration with CS faculty and graduate students, fellows create curricular materials, course assignments, and teach ethics modules in CS courses.
The fellows also participate in the intellectual life of the McCoy Family Center for Ethics in Society and Stanford HAI. HAI and the McCoy Family Center for Ethics in Society are offering a 9-10 week fellowship for Stanford undergraduate and graduate students to engage in the technology ethics and policy field as it intersects with public policy and social impact.
Fellowship Programs | Stanford HAI Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.
According to the current listing, eligibility includes: Applicants must have completed their Ph. D. before they start the fellowship. Confirm the full requirements in the official notice before applying.
SAIL Postdoctoral Fellows is funded by Stanford Artificial Intelligence Laboratory (SAIL). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
NSF just committed $380 million to build a national network of AI-programmable, remotely operated laboratories — the Programmable Cloud Laboratories Test Bed (NSF 25-541), the agency's flagship contribution to the Genesis Mission. Twenty nodes, four years, self-driving experiments in chemistry, biology and materials. Here is what it funds, who is eligible, why the 'existing facilities only' rule matters, and how researchers and companies should position for what comes next.
Read articleNSF announced three more X-Labs topics on September 16, 2026 — Artificial Intelligence for Physical Systems is live, with Sequence to Function and Computation at the Limit of Physics coming this fall. The Q&A webinar is October 14 and an RFI on future topics closes October 30. The per-topic key-personnel restriction is what should be driving your team-building decisions.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
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