Carnegie Mellon University's Language Technologies Institute (LTI) seeks applicants for the Teaching track starting in the Fall 2023 semester. Teaching-track applicants must have strong interests and accomplishments in teaching, with expertise in language technologies.

The Language Technologies Institute (LTI) in the School of Computer Science (SCS) at Carnegie Mellon University invites applications for multiple tenure-track and teaching-track faculty positions. The LTI is dedicated to the study of human language and related information technologies, including NLP, speech, MT, computational linguistics, text mining, machine learning, and multimedia.  The LTI has some 36 faculty, about 150 PhD/MS research students, and another 150 professional MS students. It is one of seven departments within SCS, which has over 200 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.

We seek candidates internationally who have a demonstrated commitment to excellence, and who will contribute in an equitable and diverse scholarly environment. Applicants must have outstanding academic credentials and have an earned Ph.D. in Computer Science or a closely-related field.

This position includes teaching lecture style courses, project courses, and seminars. 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, but do provide substantial opportunities for professional growth and long-term contributions to education at Carnegie Mellon University.

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 and in promoting inclusion and diversity in Computer Science
  • Evidence of teaching quality, including teaching evaluations, video samples of teaching, curriculum portfolios, or other evidence of commitment to teaching effectiveness
  • Broader impact statement describing how your research and teaching has an impact on society, particularly for underrepresented groups (see full prompt)
  • Names and email addresses of three to five individuals who have been asked to provide letters of reference

Carnegie Mellon University shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

Please apply via the CMU School of Computer Science online application: https://apply.interfolio.com/109399

For More Information, Contact:

Eric Nyberg | en09@andrew.cmu.edu