November 1, 2021
The Department of Linguistics at the University of British Columbia invites applications for a tenure-track position in Computational Linguistics to begin July 1, 2022, with appointment at the rank of Assistant Professor.
Candidates must have a Ph.D. in Linguistics, Computer Science or a closely related field and have demonstrable expertise in speech technology, in the context of speech and language processing or computational linguistics. We especially encourage applicants who embrace a multifaceted approach to speech processing, for example combining methods and insights from speech technology with more traditional linguistic inquiry. The candidate will have a record of or potential for high-quality research and teaching at the graduate and undergraduate levels in speech technology (incorporating machine learning), plus at least one of the following areas: NLP; computational phonology, phonetics or morphology; computational approaches to low-resource languages.
The Department of Linguistics at UBC has recently established a new professional Master of Data Science program dedicated to Computational Linguistics. The successful candidate will teach and supervise graduate students in the MDS-CL and Linguistics programs, as well as in the undergraduate Linguistics and Speech Sciences programs. Experience in the tech industry is an asset but not a requirement. This position also offers the opportunity for membership in multiple interdisciplinary groups — including the Artificial Intelligence Methods for Scientific Impact (AIM-SI) research cluster (part of the Centre for AI Decision-making and Action), as well as UBC’s Language Sciences Institute.
How to Apply
Applicants are asked to provide all of the following:
- A letter of application that describes how they meet the above-listed requirements;
- A curriculum vitae;
- A research statement;
- A one-page teaching statement, and evidence of teaching experience (or a sample syllabus from a relevant course the applicant has taught or developed);
- A one-page statement about their experience working with a diverse student body and their contributions or potential contributions to creating/advancing a culture of equity and inclusion;
- Two samples of published scholarship; and
- The names and contact information of three academic or other professional referees.
Application materials (except for letters of recommendation) must be submitted online at https://ling.air.arts.ubc.ca/asst-prof-cl/. Please use PDF file format for all application materials.
Review of applications will begin soon after December 10, 2021, and will continue until the position is filled.
This position is subject to final budgetary approval. Salary will be commensurate with qualifications and experience. As this is a tenure-track position, the successful candidate will be reviewed for reappointment, tenure, and promotion in subsequent years, in accordance with the Collective Agreement. For a description of the criteria for reappointment and promotion, visit: http://www.hr.ubc.ca/faculty-relations/collective-agreements/appointment-faculty/.
Enquiries about the position may be addressed to Dr. Anne-Michelle Tessier, Chair of the Search Committee, at firstname.lastname@example.org, with “Research Position in Computational Linguistics” in the subject line.
Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Métis, Inuit, or Indigenous person. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Given the uncertainty caused by the global COVID-19 pandemic, applicants must be prepared to conduct interviews remotely if circumstances require. A successful applicant may be asked to consider an offer containing a deadline without having been able to make an in-person visit to campus if travel and other restrictions are still in place.