The Language Technologies Institute (LTI) in the School of Computer Science (SCS) at Carnegie Mellon University invites applications for a teaching-track position, beginning Fall 2018. This is a career-oriented, renewable appointment with an initial appointment of three years. Initial teaching-track appointments are typically at the rank of Assistant Teaching Professor, with the possibility of promotion to the ranks of Associate Teaching Professor and Teaching Professor. These ranks are not tenured, but they do provide substantial opportunities for professional growth and long-term contributions to Language Technologies education at Carnegie Mellon University.
We seek candidates with demonstrated excellence in teaching in diverse academic environments. This position includes teaching lecture style courses, capstone courses and seminars. Candidates with industrial experience in language technologies and experience managing and conducting applied research with current technologies are highly encouraged to apply. Experience promoting diversity in its various forms is also highly desirable.
LTI is an academic department dedicated to the study of language and information technologies, with approximately thirty faculty members. LTI is one of seven departments within SCS, which has over 200 tenure-track, research, and teaching faculty with expertise spanning traditional computer science, human computer interaction, language technologies, machine learning, computational biology, software engineering, and robotics. SCS offers a highly collaborative and uniquely interdisciplinary environment that promotes innovation and entrepreneurship in both teaching and research. Teaching track faculty contribute to the design of new curricula and the adoption of new teaching methods.
An applicant should submit (1) a letter of application describing his or her interests in teaching undergraduates and Master's students at Carnegie Mellon University and in promoting inclusion and diversity in Computer Science, (2) a curriculum vitae, (3) a statement of teaching philosophy, (4) the names and email addresses of three to five individuals whom the applicant has asked to provide letters of reference, and (5) evidence of teaching quality, including teaching evaluations, video samples of teaching, curriculum portfolios, or other evidence of commitment to teaching effectiveness.
Please apply via the CMU School of Computer Science online application: https://apply.interfolio.com/45159
For More Information, Contact:
Alan Black | email@example.com | 412-268-6299