Machine Learning Department Tenure Track Faculty Positions

Tenure Track Positions

The Machine Learning Department of the School of Computer Science at Carnegie Mellon University invites applications for tenure-track positions at the rank of Assistant Professor, as well as positions at the level of Associate and Full Professor. All areas of machine learning and artificial intelligence will be considered. Applicants are expected to have an active research program and a commitment to teaching excellence.

The Department occupies a privileged position in the world of machine learning, in part as the world's first and possibly only academic Machine Learning Department. The Department has close relationships through shared faculty and active collaboration across the university, especially with the Statistics Department, the School of Public Policy, and other academic units in the School of Computer Science, including the Computer Science Department, Language Technologies Institute, Computational Biology Department, Robotics Institute, Human-Computer Interaction Institute, and Software Engineering, and Societal Computing. We seek applicants who will thrive in this interdisciplinary setting.

Carnegie Mellon is highly supportive of dual career candidates and strongly encourage them to apply.

We also particularly encourage applications from candidates who have a demonstrated track record in mentoring and nurturing female and underrepresented minority students.

Candidates with a commitment toward building an equitable and diverse scholarly community are particularly encouraged to apply. We continuously seek to improve the diversity of our student, staff and faculty populations, including and especially through annual faculty hiring processes. Our hiring committee thoroughly review the qualifications of every applicant, and are particularly enthusiastic about applicants whose background and experiences would make them unique among our faculty. Applications from candidates who have a demonstrated track record in mentoring and nurturing women and students from groups traditionally underrepresented in computer science are strongly encouraged.

Applications will be accepted until January 29, 2025 at 11:59 p.m. ET.

Our application process will ask you for: 1) a cover letter, 2) a detailed curriculum vitae, 3) a teaching statement, 4) a research statement, 5) the names and email addresses of three or more individuals who have been asked to provide confidential letters of reference, 6) copies of 3 representative papers, and 7) a broader impact statement.