The Department of Computer Science at Brown University is seeking applicants for two Professor of the Practice positions, one junior at the assistant rank and the other senior at the associate rank, with a focus on teaching foundational and advanced AI courses for our graduate programs.
The initial appointment is for a 3-year term and is renewable, with potential for promotion and longer-term contracts, and a preferred start date no later than July 2027. Responsibilities include developing and teaching courses at the graduate and advanced undergraduate levels, advising students, serving on departmental committees, performing other administrative duties, and keeping up to date with the rapid developments in the field of AI. The service responsibilities of the senior position include admissions and academic assessment for Master’s students pursuing the AI program. Courses are taught in person and/or online and may have multiple sections. Pursuing research projects and doing service for the professional community are valued but not essential.
For this position, Brown does not sponsor the H-1B visa classification for scholars who need immigration sponsorship in order to enter the U.S. and commence lawful employment under the terms of their appointment.
The standard appointment for the positions is 12 months at full-time effort, with teaching and service responsibilities in both the academic year and summer. The teaching load is four courses during the academic year, plus up to two courses in the summer, depending on service responsibilities.
Faculty of the Practice are invited to attend faculty meetings and participate in department initiatives. Brown CS offers a vibrant residential academic community for both teaching and research, with over 50 full-time faculty members across the tenure, teaching, research, and practice tracks, as well as several adjunct, affiliated, and visiting faculty. Research and graduate programs leverage disciplinary strengths in CS, including our AI Research Institute on Interaction for AI Assistants (a national institute supported by a $20M NSF grant), as well as Brown’s broader interdisciplinary culture. CS is a founding partner in multiple university-wide initiatives, including The Data Science Institute, the Center for Computational Molecular Biology, Humanity-Centered Robotics, and the Center for Technological Responsibility, Reimagination, and Redesign.
The department embeds socially responsible computing content across our curriculum in a pioneering model. The department also has strong PhD, Master’s, and undergraduate programs, with students participating in research and teaching innovation. Our flagship teaching assistants program (supported by a $12 million endowment) and our long history of top-caliber research published with undergraduate and Master’s students in addition to PhD students allows faculty to work closely with students in multiple capacities on a continuum from classroom to research.
Brown University is located in Providence, RI, close to Narragansett Bay, an hour from Boston, and about three hours from New York City. Providence has been consistently rated among the Northeast’s most livable cities and is home to diverse intellectual, artistic, and business communities.
Applicants must have earned a Ph.D. or Master’s degree by the beginning of their appointment, have demonstrated teaching effectiveness as an instructor or teaching assistant, and have expertise to teach foundational AI courses such as introduction to AI, machine learning, deep learning, and large language models, as well as advanced AI courses aligned with their professional interests. Further, applicants for the associate position should have an established track-record of highly effective teaching over multiple years in at least one area related to artificial intelligence, machine learning, or data science.
Applicants must submit a cover letter, a CV, and a statement summarizing teaching and professional accomplishments and interests. Candidates must also arrange for three letters of reference to be submitted through the application website. Candidates should address in their materials (cover letter or statement) how they would contribute to the research and/or teaching missions of our diverse and inclusive university community.
To apply, please use Interfolio. Full consideration will be given to applications submitted by November 1. Late applications may be considered until the position is filled. Inquiries may be addressed to: ai_pop_search_2026@lists.cs.brown.edu.
