Position overview 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 Application Window Open date: July 31, 2026 Next review date: Thursday, Oct 15, 2026 at 11:59pm
(Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Thursday, Oct 15, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date. Position description The Department of Architecture at the University of California, Berkeley, invites applications for a full-time tenure-track position at the rank of Assistant Professor in Computation and Design
Methods. Berkeley's Department of Architecture sits within the College of Environmental Design, a leader in cross-disciplinary environmental design education since 1959, and is uniquely positioned in the Bay Area, where design practice, technological innovation, and critical inquiry converge in uncommon proximity; for more information, visit UC Berkeley's Department of Architecture. We seek candidates whose work
examines and/or demonstrates promise in applying computation as a creative, social, and technical force in architectural design, connecting systems, tools, and intelligent environments to questions of authorship, agency, governance, participation, and the changing responsibilities of design. "Computation and Design Methods" names a broad area of inquiry concerned with how tools, systems, data, media, and methods
shape architectural design, representation, research, and practice. Its primary concern is the study and making of socio-technical systems through which design activity is organized, coordinated, and governed, and design artifacts are generated, represented, and evaluated. Possible areas of focus include technically-oriented subjects such as building information modeling, digital twins, spatial data systems, and
urban information systems; methodological inquiry such as feedback systems, human-building interaction, participation, distributed agency, and self-regulating processes; and sociotechnical and critical research such as platform studies, civic data, public-interest technology, and built-environment science and technology studies. Across these areas, the field asks how computation operates in architectural design as
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