Faculty Openings in the Machine Learning Department
Tenure Track Position
The Machine Learning Department of the School of Computer Science at Carnegie Mellon University invites applications for a tenure-track position at the rank of Assistant 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 only academic Machine Learning Department. The Department has close relationships through shared faculty and active collaboration across the university, especially the Statistics Department and other academic units in the School of Computer Science (Computer Science Department, Language Technologies Institute, Computational Biology Department, and the Robotics Institute). 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 under-represented minority students.
Teaching Track Position
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 inside the university and to remote locations. 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 service students beyond our local campus have grown significantly.
The individual filling this position will be responsible for leading 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. and 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 large lecture courses at the advanced undergraduate and 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 under-represented minority students.
For more information about teaching faculty appointments at Carnegie Mellon, please read the School of Computer Science - Policy on Teaching Track Appointments.