The Computer Science (CS) Department in the Yale School of Engineering & Applied Science (SEAS) invites applications for one tenure-track faculty position at the rank of Assistant Professor in Human-Computer Interaction (HCI). The anticipated start date is July 1, 2027. Applicants are expected to excel in HCI research and to teach at the undergraduate and graduate level within the Computer Science curriculum.
In support of the SEAS Strategic Vision, we are particularly interested in candidates whose research intersects with Human-AI Interaction. We seek scholars who investigate the symbiotic relationship between humans and intelligent systems. Examples (in no particular order) include scholars who advance human-AI collaboration or teaming, develop novel interfaces and interaction paradigms for AI agents, engineer AI-driven pedagogical tools to enhance learning outcomes, create AI-powered interfaces for end-user programming of complex computing systems, design AI-powered assistive interfaces, or build creative interfaces that leverage AI. Successful candidates are expected to have a strong record of publication in premier HCI venues such as CHI, CSCW, UIST, or IUI.
Yale provides many opportunities for research collaborations, offering an intellectual environment in which Human-Computer Interaction can engage not only with Computer Science and Engineering, but with the extraordinary breadth of scholarship and creative practice across the university.
Yale faculty regularly have the opportunity to teach excellent students, both graduate and undergraduate. An overview of academic programs offered by the CS department can be found on the department’s website: http://cpsc.yale.edu/.
Qualifications
Candidates must hold a Ph.D. or equivalent degree at the time of hire in Computer Science or a related discipline.
Application Instructions
Applicants are asked to submit a cover letter, curriculum vitae, a teaching statement, a research statement, and three confidential letters of recommendation through Interfolio. A helpful teaching statement should describe the candidate’s teaching experience and explain how they could contribute to the curriculum at Yale. The research statement should include a research vision and, if relevant, potential collaborations across Yale. To ensure full consideration, please submit all materials by December 15, 2026. Review of applications will begin after December 16, 2026, and will continue until the position is filled. Contact Alicia Vignola (alicia.vignola@yale.edu) with any questions regarding the application.
Equal Employment Opportunity Statement
The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives.
Additionally, in accordance with this Policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex; sexual orientation; gender identity or expression; pregnancy, childbirth or related conditions; race; color; national or ethnic origin; religion; age; disability; protected veteran status, or other protected classes as set forth in federal and Connecticut law.
Compensation & Benefits Information
Information on salary ranges and benefits is available here.
Professional Conduct Review for New Faculty Hires
The final candidate, upon acceptance of a contingent offer of employment/faculty appointment, may be required to disclose whether they are, or have been, the subject of any disciplinary proceeding (investigation, hearing, etc.) at previous institutions or employers, and may also be subject to a background screening. Candidates who materially misrepresent information on their resume or other application materials are ineligible for hire/appointment. Final candidates may also be required to sign a release to allow Yale to solicit information regarding any substantiated conduct violations from current and/or past employers.
