The Machine Learning Department at Carnegie Mellon University has an opening for a Teaching Faculty member to lead our efforts in teaching machine learning, both 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, our course enrollments have more than doubled in recent years, and requests for us to serve students beyond our local campus have also grown significantly.
The individual filling this position will be responsible for leading the growth of our department's machine learning curriculum, including improving educational outcomes and extending 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 opportunities 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 strong 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.
In order to receive full consideration, applicants should submit a letter of application, curriculum vitae, a statement of teaching philosophy, and the names and email addresses of three or more individuals whom the applicant has asked to provide letters of reference. Applicants should arrange for reference letters to be sent directly to the contact below. Please send all information to the contact below. This position will remain open until filled. We will consider applications as we receive them.
Additionally, applicants are encouraged to submit a video sample of their teaching, demonstrating their excellence.
Please send your applications and accompanying materials to
Sharon Cavlovich
Machine Learning Department
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213
Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo.
