The School of Engineering and Applied Science at the University of Pennsylvania continues to expand rapidly. As a key pillar of these investments, the Department of Computer and Information Science is engaged in an ambitious, multi-year hiring effort for tenure-track positions at the Assistant, Associate, and Full Professor levels. We have hired over 25 new tenure-track and tenured faculty, spanning all ranks, over the past 7 years.
We seek individuals with stellar research achievement and potential, who will excel in teaching undergraduate and graduate courses and take a position of international leadership in defining their field of study. These individuals will promote and welcome wide-ranging viewpoints and experiences, and will work closely with students of all backgrounds. Leadership in cross-disciplinary collaborations is of particular interest. Successful applicants will find Penn to be a stimulating environment conducive to professional growth. This position will start July 1, 2026.
Applicants must have a PhD in Computer Science or a relevant discipline. We seek exceptional candidates in all areas of computer science, with a special interest this year in candidates in theoretical computer science, computer security, and artificial intelligence. We especially invite applications from candidates whose interests are aligned with the school's strategic plan: .
To ensure full consideration, applicants are encouraged to apply by N ovember 30th, 2025. However, applications will be accepted until positions are filled. Please submit a cover letter, curriculum vitae, research statement, teaching statement and four confidential letters of recommendation. Other supporting documents are optional. Applications must be submitted online through Interfolio ( .
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.
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