Position overview Position title: Assistant Professor of Human-Computer Interaction (HCI) Salary range: The current salary range for this position is $84,100 - $132,900 (9-month academic year salary), however, off-scale salary and other components of pay, which would yield compensation that is higher than this range, are offered to meet competitive conditions. Anticipated start: July 1, 2027 Review timeline:
In-Person Interviews: January-February 2027 Application Window Open date: September 8, 2026 Next review date: Monday, Nov 2, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Monday, Nov 2, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date. Position description The School of Information at the University of California,
Berkeley, invites applications for appointment to the faculty at the Assistant Professor rank. Human-Computer Interaction (HCI) is a field of expertise focused on the evolving relationship between people and computing systems. HCI researchers design and study new ways for people to interact, collaborate, create, work, and make decisions with technology, and investigate how emerging computing systems shape human
capabilities, practices, organizations, and society. Methods include the design and development of novel systems, experimentation, qualitative and ethnographic research, participatory design, computational methods, field studies, and mixed-methods research. We seek applicants who are defining the next generation of human-computer interaction: developing new ways for people to interact, collaborate, create, work, and
make decisions with increasingly intelligent computing systems. We are particularly interested in scholars who both imagine and build new forms of human-computer interaction and rigorously investigate how these technologies shape people, organizations, and society. We welcome research across HCI and related fields, including, but not limited to, human-AI interaction and collaboration, intelligent and adaptive
interfaces, social and collaborative computing, the future of work, accessibility, values such as sustainability, privacy, and justice in and through design, ubiquitous and embodied computing, information visualization, human-robot interaction, and emerging interaction modalities. We welcome a broad range of methodological approaches, including the design and development of novel systems, experimental and
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