Course Lecturer - LING 345 - Winter 2026
About the role
Please refer to the
How to Apply for a Job (for External Candidates)
job aid for instructions on how to apply.
If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).
Department of Linguistics
LING 345 – From Natural Language to Data Science (3 credits)
Posting dates: October 1 to October 14, 2025
Course dates: January 5 to April 14, 2026
Teaching Schedule: Tuesday and Thursday (10:05AM to 11:25AM)
Location: ENGMC 204
Course details: Introduction to language data science, including theoretical approaches and practical skills. Processing, searching, and querying text data; making sense of large corpora; modelling and interpreting psycholinguistic and historical language data; building models of sequences of words; computing similarity between languages; information retrieval and extraction; question answering, and ethics.
Teaching Qualification Requirements: Successful completion of at least PhD Evaluation 1 or equivalent experience. Particularly, the candidate must be able to teach Classification and Regression Analysis using historical language and psycholinguistic data. Familiarity with pandas and scikit is desired as the problem sets involve working with them. Past experience of LING 345/682, LING 620 and computational LING 683 courses at McGill or related industry experience will be a great asset.
Experience: Classroom teaching experience through previous employment as Teaching Assistant or Course Lecturer for at least 120 hours, or equivalent. Documented research experience could be in computational linguistics, and industry experience in computer science or linguistics is desirable but not required.
Other: For current graduate students, GPA of 3.7 or higher and at least A- in LING 345/682, LING 620 and LING 683 or equivalent.
Position Summary:
A Course assignment includes all or part of the following teaching activities:
a) preparation of the Course and Course plan;
b) delivery of the Course;
c) evaluation of students;
d) submitting to the University a report on student attendance and student grades;
e) supervision of Teaching Assistants or any other teaching support staff;
f) upon request, review of their students’ grades;
g) meeting with students, being available to answer questions and give advice concerning Course content and requirements;
Employees shall perform their duties in compliance with the Pedagogical Regulation and as specified in the administrative directives of the Hiring Unit. An Employee shall use appropriate pedagogical methods and material.
Salary: $11, 479
Application deadline: October 14th, 2025
Required Application Documents:
Applicants must submit the following documents: 1. an updated CV, 2. a letter of introduction stating their teaching philosophy and how they would approach the teaching of a particular course*, and 3.* a syllabus for the course which must follow the template provided by the McGill course outline guidelines (
https://www.mcgill.ca/tls/instructors/course-design/outline
). References and previous course evaluations upon request.
McGill University is an English-language University where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.
Hiring Unit:
Department of Linguistics
Course Title:
From Natural Language to Data Science.
Subject Code:
LING 345 001
Location:
ENGMC 204
Schedule:
Tuesday and Thursday, 10:05-11:25
Deadline to Apply:
2025-10-14
McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,
accessibilityrequest.hr@mcgill.ca
.
About McGill University
McGill University is one of Canada's best-known institutions of higher learning and one of the leading universities in the world. With students coming to McGill from some 150 countries, our student body is the most internationally diverse of any research-intensive university in the country. McGill was founded in 1821 thanks to a generous bequest by James McGill, and since then, we've grown from a small college to a bustling university with three campuses, 11 faculties, some 300 programs of study, and more than 37,500 students. The University also partners with four affiliated teaching hospitals to graduate over 1,000 health care professionals each year.
The goal of McGill University's social media platforms is to strengthen our community, which includes students, faculty, and alumni. The aim is to provide information on events, campus news and promote networking.
McGill University fosters freedom of expression, while valuing respect and collegiality. We encourage respectful dialogue and reserve the right to remove the following: Comments deemed offensive, vulgar or profane; comments off-topic and/or unrelated to posted content; content that infringes on an individual's privacy or copyright.
Course Lecturer - LING 345 - Winter 2026
About the role
Please refer to the
How to Apply for a Job (for External Candidates)
job aid for instructions on how to apply.
If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).
Department of Linguistics
LING 345 – From Natural Language to Data Science (3 credits)
Posting dates: October 1 to October 14, 2025
Course dates: January 5 to April 14, 2026
Teaching Schedule: Tuesday and Thursday (10:05AM to 11:25AM)
Location: ENGMC 204
Course details: Introduction to language data science, including theoretical approaches and practical skills. Processing, searching, and querying text data; making sense of large corpora; modelling and interpreting psycholinguistic and historical language data; building models of sequences of words; computing similarity between languages; information retrieval and extraction; question answering, and ethics.
Teaching Qualification Requirements: Successful completion of at least PhD Evaluation 1 or equivalent experience. Particularly, the candidate must be able to teach Classification and Regression Analysis using historical language and psycholinguistic data. Familiarity with pandas and scikit is desired as the problem sets involve working with them. Past experience of LING 345/682, LING 620 and computational LING 683 courses at McGill or related industry experience will be a great asset.
Experience: Classroom teaching experience through previous employment as Teaching Assistant or Course Lecturer for at least 120 hours, or equivalent. Documented research experience could be in computational linguistics, and industry experience in computer science or linguistics is desirable but not required.
Other: For current graduate students, GPA of 3.7 or higher and at least A- in LING 345/682, LING 620 and LING 683 or equivalent.
Position Summary:
A Course assignment includes all or part of the following teaching activities:
a) preparation of the Course and Course plan;
b) delivery of the Course;
c) evaluation of students;
d) submitting to the University a report on student attendance and student grades;
e) supervision of Teaching Assistants or any other teaching support staff;
f) upon request, review of their students’ grades;
g) meeting with students, being available to answer questions and give advice concerning Course content and requirements;
Employees shall perform their duties in compliance with the Pedagogical Regulation and as specified in the administrative directives of the Hiring Unit. An Employee shall use appropriate pedagogical methods and material.
Salary: $11, 479
Application deadline: October 14th, 2025
Required Application Documents:
Applicants must submit the following documents: 1. an updated CV, 2. a letter of introduction stating their teaching philosophy and how they would approach the teaching of a particular course*, and 3.* a syllabus for the course which must follow the template provided by the McGill course outline guidelines (
https://www.mcgill.ca/tls/instructors/course-design/outline
). References and previous course evaluations upon request.
McGill University is an English-language University where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.
Hiring Unit:
Department of Linguistics
Course Title:
From Natural Language to Data Science.
Subject Code:
LING 345 001
Location:
ENGMC 204
Schedule:
Tuesday and Thursday, 10:05-11:25
Deadline to Apply:
2025-10-14
McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,
accessibilityrequest.hr@mcgill.ca
.
About McGill University
McGill University is one of Canada's best-known institutions of higher learning and one of the leading universities in the world. With students coming to McGill from some 150 countries, our student body is the most internationally diverse of any research-intensive university in the country. McGill was founded in 1821 thanks to a generous bequest by James McGill, and since then, we've grown from a small college to a bustling university with three campuses, 11 faculties, some 300 programs of study, and more than 37,500 students. The University also partners with four affiliated teaching hospitals to graduate over 1,000 health care professionals each year.
The goal of McGill University's social media platforms is to strengthen our community, which includes students, faculty, and alumni. The aim is to provide information on events, campus news and promote networking.
McGill University fosters freedom of expression, while valuing respect and collegiality. We encourage respectful dialogue and reserve the right to remove the following: Comments deemed offensive, vulgar or profane; comments off-topic and/or unrelated to posted content; content that infringes on an individual's privacy or copyright.