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Fellowships

HAI Fellowship Programs offer opportunities to explore topics, conduct research, and collaborate across disciplines related to AI technologies, applications, or impact. Unless otherwise noted, 2021-2022 Fellowship applications will open Fall/Winter 2020.

Program Details and Opportunities

HAI Junior Faculty Fellow - Now Accepting Applications

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: December 1, 2020.

Learn more about the HAI Junior Fellows Program

Stanford Embedded EthiCS Fellowship - Now Accepting Applications

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: December 2, 2020.

HAI-Ethics in Society Fellowship - Now Accepting Applications

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: December 2, 2020.

HAI-Center for International Security and Cooperation Fellowship - Now Accepting Applications

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: January 15, 2021. Learn more and apply.

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.

STEM Education, Equity, and Inclusion Postdoctoral Fellowship - Position Filled

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.

Fellowship in Machine Learning and Public Policy

Professors Daniel Ho, Jacob Goldin, and Jure Leskovec invite applications for a postdoctoral scholar focused on the intersection of machine learning and public policy. This is a 2-year position, with the potential of renewal. In light of Covid-19, some or all of the work may be conducted remotely. For more information, see the RegLab and SNAP sites. Experience with research in one or more of the following areas is desirable: active learning, deep learning, fairness in machine learning. A Ph.D. degree in Computer Science, Economics, Statistics or a related field with a background in machine learning and data science is required. Learn more and apply.

Postdoctoral Opportunity in Computational Education

Stanford’s Institute for Human-Centered Artificial Intelligence invites applications for multiple postdoctoral scholar positions in Artificial Intelligence and Design for Education, enabling free-ranging innovative research working with a group of Stanford faculty. Positions are funded for one calendar year with the intent to renew for a second year. Possible start dates from September 2020 through January 2021. Learn more and apply.

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.

Meet our current Fellows

For questions related to the Stanford Institute for Human Centered Artificial Intelligence fellowship programs, please contact HAI-Fellowships@stanford.edu