HAI Fellowship Programs offer opportunities to explore topics, conduct research, and collaborate across disciplines related to AI technologies, applications, or impact.
Program Details and Opportunities
HAI Junior Faculty Fellow
HAI was established to support innovative AI research that bridges disciplines or fields. For this reason, HAI aims to appoint and support promising researchers working at intersections often overlooked by traditional academic departments, in addition to outstanding researchers pursuing core disciplinary topics. HAI Fellows are Assistant Professors (Research) who will be affiliated with both HAI and a traditional department (e.g., Computer Science or Psychology). Junior Fellows contribute to HAI’s mission by conducting and publishing research, teaching undergraduate and/or graduate classes, mentoring students, and participating in the rich intellectual life on campus.
Application deadline is November 15, 2021.
Stanford Digital Economy Lab (S-DEL) Postdoctoral Fellowships
S-DEL is currently seeking two Postdoctoral Fellows. Both positions will 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 S-DEL’s research priorities. S-DEL is engaged in over 45 different individual research projects, with a growing network of faculty and researchers from across campus and from other institutions around the world. We encourage multi-disciplinary engagement. In addition to specific priority projects, each postdoctoral associate will have the opportunity to work with other researchers at Stanford and within our network of fellows. Our research projects balance rigor and relevance, aiming to produce papers for top academic journals while also informing policy and practice through other contributions. Requirements: Highly motivated postdoctoral researcher(s) with extensive experience in (1) data processing, data analysis, and econometrics; and (2) familiarity with and interest in the literatures on innovation, organizational economics, and/or business strategy. Must be able to work well with academics and industry executives alike. English language skills (verbal and written) must be strong. Ph.D. in Economics or a Management Science field.
HAI-Center for International Security and Cooperation Fellowship
HAI-CISAC Fellows will pursue research on policy issues related to Stanford’s Human-Centered AI Institute's (HAI) mission of guiding the development of artificial intelligence to ensure that it benefits humanity, as well as contribute to Center for International Security and Cooperation’s work on digital security writ large. Research focus areas may include, among others, regulatory and governance frameworks, policy prescriptions for addressing societal impacts of AI, or national or international security implications of AI. Fellows will be an integral part of the larger fellowship program at CISAC. This program provides faculty mentorship and requires fellows’ participation in the CISAC Fellows’ Policy Workshop, a biweekly meeting that takes place throughout the academic year and is designed to help fellows bridge the gap between academia and the policy community. All HAI-CISAC fellows are expected to participate in HAI and CISAC research seminars and produce policy-relevant work, which could include media appearances, published articles, or briefings to or workshops for government or international organization officials, ideally in collaboration with researchers from other disciplines. Fellows with backgrounds in the natural sciences, engineering, social sciences, history, and law are encouraged to apply. Both pre- and post-doctoral fellowships are available, but all candidates are expected to be in their final year or have recently completed a terminal degree in their discipline.
Application deadline closed on January 15, 2021.
HAI-John S. Knight Journalism Fellowship
The John S. Knight (JSK) Journalism Fellowships in partnership with the Stanford Human-Centered Artificial Intelligence (HAI) help journalists explore the effects of Artificial Intelligence (AI) on the journalism industry and humanity. The partnership embeds current JSK Fellows within Stanford’s HAI community and designates up to two new members of the each JSK class, as JSK-HAI Fellows. As the public conversation around AI evolves, leading journalists will play a critical role setting the agenda on key AI issues that will shape society for years to come. The JSK-HAI Journalism Fellows, with funding provided by the HAI Initiative, will also be able to access and engage the interdisciplinary Stanford community focused on AI, including by participating in HAI Fellows seminars and workshops, and contributing to research and outreach. Through collaboration with other members of the JSK and HAI communities, these diverse, resilient leaders will explore solutions to some of the biggest programs in journalism – and the world.
Stanford Embedded EthiCS Fellowship
The Stanford Embedded EthiCS Fellowship is based at the McCoy Family Center for Ethics in Society (EIS) and the Institute for Human-Centered AI (HAI) beginning September 1, 2020. The postdoctoral fellow will be expected to spend 50% of their time working with the Embedded Ethics program and 50% of their time on their own independent research within a cohort of postdoctoral fellows appointed at EIS and HAI.
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, the fellow will create curricular materials, course assignments, and teach ethics modules across three to six courses in the inaugural year of the program, and in doing so, will have the opportunity to shape the direction of this new approach to technology education at Stanford.
Application deadline closed on December 2, 2020.
HAI-Ethics in Society Fellowship
The Interdisciplinary Ethics Fellowship Program is rooted in the commitment of the Center for Ethics in Society to bringing ethical reflection to bear on pressing social problems. Addressing many of these social problems involves knowledge of the work of social science, law, engineering, and the life sciences. The premise of this program is that the normative scholarship of fellows will be enhanced by engagement with empirically-oriented scholars. To that end, each fellow in the program will be matched with a partner research center at Stanford that is dedicated to interdisciplinary research, including HAI and other campus centers depending on applicants' interests.
Application deadline closed on December 2, 2020.
Race & Technology Practitioner Fellowships
The Practitioner Fellowships at the Center for Comparative Studies in Race and Ethnicity (CCSRE) and the Digital Civil Society Lab (DCSL) support social sector leaders so that they can have time to develop ideas to benefit civil society. These might include: designing tools to protect civil society actors and advance racial justice, developing policy frameworks to govern the use of data, or prototyping tools to mitigate bias in emerging technologies. The program aims to catalyze and support a broad range of projects envisioned and led by the selected fellows. The fellowship provides time, space, expertise, and financial support to help turn ideas into prototypes or action, and fellows become part of a cohort that thrives with access to an intellectual community. Fellowships are supported by the Stanford Institute for Human Centered Artificial Intelligence, the Schmidt Family Foundation, and the Gordon and Betty Moore Foundation.
Application deadline closed on October 31, 2020.
STEM Education, Equity, and Inclusion Postdoctoral Fellowship
The Stanford Institute for Human-Centered Artificial Intelligence (HAI), in partnership with the NSF-funded Coherent Ising Machines Project based at Stanford University, is seeking a new science education postdoctoral fellow to conduct research and outreach activities aimed at addressing the longstanding underrepresentation of various populations in the technical AI field.
The Coherent Ising Machines (CIMs) Project is led by Prof. Hideo Mabuchi (Applied Physics, Stanford University) and includes collaborating groups from Stanford, Caltech, Cornell, USRA/NASA and NTT PHI Research Labs. The successful candidate will coordinate the project team’s NSF-mandated efforts towards Broadening Participation in Computing (BPC), engaging directly in outreach activities such as program development and partner relations, and conducting research on factors that inhibit students from underrepresented groups from accessing careers in computational science and engineering. Working with the HAI and CIMs teams, the incumbent will also ensure successful completion of related administrative responsibilities (e.g., website and marketing, budgeting, and program logistics).
For BPC activities, NSF’s Directorate for Computer Information Science and Engineering strongly encourages meaningful actions that address the longstanding underrepresentation of various populations - including women, African Americans, Hispanics, American Indians, Alaska Natives, Native Hawaiians, Native Pacific Islanders, and persons with disabilities - in the computing field.
This is an excellent career-building opportunity for candidates looking to grow their careers in leading-edge CS research while expanding their experience and resume in education/Diversity, Equity and Inclusion (DEI) mentoring, as well as for those focused in developing their careers in STEM-Ed.
Application closed - position filled.