Carnegie Mellon University

The application period for all faculty positions that begin Fall 2022 is closed. A new application period will open Fall 2022 for positions starting Fall 2023.

Faculty Openings in the Machine Learning Department

Multiple 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.

Multiple Teaching Track Positions

The Machine Learning Department at Carnegie Mellon University has an opening for a Teaching Faculty member to lead our efforts in modernizing the teaching of machine learning within and outside our campus. As the world's only academic Machine Learning Department, we occupy a unique position in defining the standard curriculum for the field – one that is used as a template by many other universities. With the increasing importance of machine learning over recent years, our course enrollments have more than doubled, and requests for us to serve students beyond our local campus have grown significantly.

The individual filling this position will help lead the modernization of our teaching of machine learning, including developing new online and technology-assisted materials to improve educational outcomes and to extend our reach. They will work closely with the department head and other faculty to develop a strategic plan for taking advantage of new online and technology-assisted educational options over the coming decade. They will also be responsible for teaching classes and overseeing aspects of the educational program, e.g., admissions to our Ph.D., Masters programs and advising undergraduate students minoring in Machine Learning. Candidates should have a Ph.D. with deep expertise in machine learning and a background of demonstrated excellence and dedication to teaching. Candidates must be prepared to teach extensive lecture courses at the advanced undergraduate and introductory/intermediate graduate-level and also be prepared to work with the existing faculty of the department to establish, improve, and standardize the curriculum. 

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

For more information about teaching faculty appointments at Carnegie Mellon, please read the School of Computer Science - Policy on Teaching Track Appointments.

Open Rank Faculty, Delphi Group

We would like to welcome new faculty at any rank and any track to join us in leading the Delphi group in the coming decade to develop and test the technology and science that are urgently needed for national epidemic tracking and forecasting, and that we believe we are in a position to do well.

Apply to the Open Rank Faculty positions at Interfolio