TEACHING TRACK FACULTY

Carnegie Mellon University's Language Technologies Institute (LTI) seeks applicants for the Teaching track starting in the Fall 2026 semester. Teaching-track applicants must have strong interests and accomplishments in teaching, with expertise in language technologies.

The LTI is dedicated to the study of human language and related information technologies, including NLP, speech, MT, computational linguistics, text mining, machine learning, multimodality, multilingual NLP, and multimedia. The LTI has some 30 faculty, about 125 PhD/MS research students, and 357 professional MS students. It has six degree programs, ranging from undergraduate to PhD. It is one of seven departments within SCS, which has over 250 faculty with expertise spanning all areas of computer science. SCS is a highly collaborative and uniquely interdisciplinary environment that promotes innovation and entrepreneurship in both teaching and research.

This position includes teaching lecture style courses, project courses, seminars, and on-line courses supported by learning management systems (LMS) such as Canvas and Piazza. Candidates with industrial experience in language technologies and experience managing and conducting applied research with current technologies are encouraged to apply.

The teaching track is a career-oriented, renewable appointment with an initial appointment of three years. Typically initial appointments are at the rank of Assistant Teaching Professor, with the possibility of promotion to the ranks of Associate Teaching Professor and Teaching Professor. Teaching track positions are not tenured. The position provides substantial opportunities for professional growth and long-term contributions to education at Carnegie Mellon University both in person and online.

Candidates with a commitment toward building a scholarly community are particularly encouraged to apply. Our hiring committees thoroughly review the qualifications of every applicant. Applicants must have outstanding academic credentials and have an earned Ph.D. in Computer Science or a closely-related field.

The full application should include:

• A brief letter of application

• Detailed curriculum vitae

• Teaching statement that describes the candidate's interests in teaching Carnegie Mellon students

• Evidence of teaching quality, including teaching evaluations, video samples of teaching, curriculum portfolios, or other evidence of commitment to teaching effectiveness

• Please provide a brief statement highlighting your past experience with, or future plans for, having a broad impact on CMU. In this statement you might consider telling us about unique curriculum design or how you broaden the distribution of your research results. We are interested in learning anything you wish to share about you, or your work as a future member of our faculty that demonstrates the potential to broaden participation in computer science, or more generally benefit CMU.

• Names and email addresses of three to five individuals who have been asked to provide letters of reference