The Department of Computer Science at Brown University is hiring multiple tenure-track faculty members at the level of Assistant Professor in several strategic research areas.
For this search, we are specifically interested in candidates whose research focus is in architecture and database systems, including but not limited to:
- Architecture: hardware-software codesign, non-traditional architectures, energy-efficient architectures, and related areas.
- Database systems: data platforms on modern and emerging hardware, data systems for machine learning and artificial intelligence, as well as the applications of machine learning in data systems, and distributed, parallel and cloud-based data management and engineering.
For other searches, see the faculty positions page on our department’s website.
Applicants must have completed all requirements for the doctoral degree by the start of the position. The initial appointment as assistant professor is for four years and is renewable. Applicants should submit the following materials on the application website (http://apply.interfolio.com/134965): (1) cover letter; (2) CV; (3) research statement; (4) teaching statement; and (5) diversity statement. Applicants should also arrange for three or four letters of reference to be submitted through the application website. The diversity statement should summarize past and planned contributions by the candidate to diversity and inclusion. These contributions may arise from research, teaching/mentoring, outreach, lived experience, or other activities.
We welcome applications from and will try to accommodate the needs of dual-career couples.
We ask candidates and their references to submit complete applications by December 1, 2023, for full consideration; soon after that, we will stop considering new applications and start making initial invitations for interviews. Applicants who would like confidentiality should explicitly mention this desire in the first paragraph of their cover letters. Inquiries may be addressed to: faculty_search_2024@lists.cs.brown.edu
The department strives to build a diverse and inclusive environment for all members of our community and is particularly interested in candidates whose experience, teaching, service, or scholarship can further these efforts. Our department’s vision and plan for diversity fit within Brown’s broader commitment. We are pursuing a major expansion of our faculty roster in the near term. While many of these positions will strengthen and expand core and emerging CS areas, some will be used to build bridges with other campus disciplines to facilitate interdisciplinary research and teaching. As a part of our growth plan, we also emphasize socially responsible computing throughout our curriculum and research.
The department has 33 tenured and tenure-track faculty, 16 teaching faculty, 2 research faculty, and 26 affiliated and visiting faculty. In addition to its strong doctoral and Master’s programs, the department has a thriving undergraduate culture/, anchored by its flagship endowed program for undergraduate teaching assistants and research assistants. Department members frequently take advantage of Brown’s interdisciplinary culture via collaborations with numerous other Brown units. CS has a strong partnership with major university-wide institutes and centers, including the Data Science Institute, the Center for Computational Molecular Biology, the Watson Institute for International and Public Affairs, the Carney Institute for Brain Science, and the recently launched Center for Technology Responsibility.
Brown University is located in Providence, RI, 50 miles from Boston and 175 miles from New York City, both accessible via frequent rail service, and close to Narragansett Bay. Providence is consistently rated among the Northeast’s most livable cities and is home to diverse intellectual, artistic, and business communities.
Brown University is committed to fostering a diverse, inclusive, and global academic community. As an EEO/AA employer, Brown considers applicants for employment without discrimination on the basis of gender, race, protected veteran status, disability, or any other legally protected status.
