Mathematical Sciences Fall/Winter 2026/27 Thunder Bay

Application Deadline: May 30th, 2026

Department of Mathematics

Lakehead University, Thunder Bay Campus, invites applications for Contract Lecturers in the Department of Mathematics. Applicants are requested to teach:

MATH 0212 FA / MATH 0212L F1 – Quantitative Methods for the Health Scientist

An introduction to probability; the binomial, poisson and normal distributions; analysis of data; statistical inference; ANOVA; linear regession and correlation; nonparametric methods. 

Start Date/Duration: September 8, 2026 –   December 24, 2026

   Lecture: In-person Mon/Wed 1:00pm-2:30pm

   Lab: In-person Tues 4:30pm-5:30pm

MATH 0212 FB / MATH 0212L F1 – Quantitative Methods for the Health Scientist

An introduction to probability; the binomial, poisson and normal distributions; analysis of data; statistical inference; ANOVA; linear regression and correlation; nonparametric methods. 

Start Date/Duration: September 8, 2026 –   December 24, 2026

   Lecture: In-person Mon/Wed 8:30am-10:00am

   Lab: In-person Tues 4:30pm-5:30pm

MATH 0212 YA / MATH 0212L Y1 – Quantitative Methods for the Health Scientist (INEP)

An introduction to probability; the binomial, poisson and normal distributions; analysis of data; statistical inference; ANOVA; linear regression and correlation; nonparametric methods.

Start Date/Duration: September 8, 2026 –   April 22, 2027

   Lecture: In-person Tues/Thurs 10:00am-11:30am

   Lab: In-person Tues 9:00am-10:00am

MATH 0212 FY / MATH 0212L FY1 – Quantitative Methods for the Health Scientist (SGEI BScN)

An introduction to probability; the binomial, poisson and normal distributions; analysis of data; statistical inference; ANOVA; linear regression and correlation; nonparametric methods.

Start Date/Duration: September 8, 2026 –   December 24, 2026

   Lecture: Zoom Mon/Wed 10:00-11:30

   Lab: Zoom Tues 1:30-2:30

MATH 1051 YA / MATH 1051L Y1 – Functions and Trigonometry (INEP)

For students without grade 12 U Advanced Functions or equivalent. Cartesian coordinate systems; linear equations and straight lines; quadratic equations and parabolas; functions, including domain, range, graph, and composition of functions; angles and radian measure; the trigonometric functions, their graphs, and identities; the sine and cosine rules; polar coordinates; conic sections; and inequalities.

Start Date/Duration: September 8, 2026 – April 22, 2026

   Lecture: In-person Tues/Thurs 11:30am-1:00pm

   Lab: In-person Thurs 9:00am-10:00am

MATH 1071 FA / MATH 1071L F1 – Vectors and Matrices

For students without grade 12 U Calculus and Vectors or equivalent. Cartesian coordinates; vectors in two and three dimensions; the dot product and components of vectors; the cross product; equations of lines and planes; complex numbers; vector spaces over the real and complex number systems; linear independence, bases and spanning sets; subspaces; matrices; addition and scalar multiplication of matrices; matrix multiplication; the transpose of a matrix; invertible matrices; systems of linear equations and row reduction; and determinants, including Cramer's rule.

Start Date/Duration: September 8, 2026 –   December 24, 2026

   Lecture: In-person Mon/Wed 8:30am-10:00am

   Lab: In-person Fri 8:30am-10:30am

MATH 1210 FA / MATH 1210L F1 – Calculus I for Engineers

Application of differentiation; definite and indefinite integrals; transcendental functions; complex numbers; techniques of integration.

Start Date/Duration: September 8, 2026 –   December 24, 2026

   Lecture: In-person Mon/Wed 10:00am-11:30am

   Lab: In-person Tues 4:30pm-5:30pm

MATH 1210 FB / MATH 1210L F1 – Calculus I for Engineers

Application of differentiation; definite and indefinite integrals; transcendental functions; complex numbers; techniques of integration.

Start Date/Duration: September 8, 2026 –   December 24, 2026

   Lecture: In-person Tues/Thurs 1:00pm-2:30pm

   Lab: In-person Tues 4:30pm-5:30pm

MATH 4030 FA – Probability and Statistics

Probability and relative frequency; joint probabilities of related and independent events; Bayes' Theorem; statistical independence; random variables; cumulative distribution functions; probability density functions; parameters describing the central tendency and dispersion of distribution; probability distribution functions in engineering; law of large numbers; central limit theorem; testing hypotheses and goodness of fit; sampling theory; linear correlation and regression.

Start Date/Duration: September 8, 2026 –   December 24, 2026

   Lecture: In-person Mon/Wed 11:30am-1:00pm

MATH 4030 FB – Probability and Statistics

Probability and relative frequency; joint probabilities of related and independent events; Bayes' Theorem; statistical independence; random variables; cumulative distribution functions; probability density functions; parameters describing the central tendency and dispersion of distribution; probability distribution functions in engineering; law of large numbers; central limit theorem; testing hypotheses and goodness of fit; sampling theory; linear correlation and regression.

Start Date/Duration: September 8, 2026 –   December 24, 2026

   Lecture: In-person Mon/Wed 2:30pm-4:00pm

MATH 1078 WDE – Elementary Calculus (Web Based)

For students without Grade 12 U Calculus and Vectors or equivalent. Limits of functions and their properties; limits of exponential, logarithmic, and trigonometric functions; indeterminate and infinite limits; continuity of functions; the definition of derivatives; equations of tangent lines; differentiation of the elementary functions; differentiation rules; applications of differential calculus including optimization, related rates, and curve sketching; anti-derivatives, the fundamental theorem of calculus, and area problems.

Start Date/Duration: January 4, 2027 –   April 22, 2027

   Lecture: Web Based - Asynchronous

MATH 1230 WA / MATH 1230L W1 – Calculus II for Engineers

Applications of integration, introduction to multiple integrals sequences and series; power series.

Start Date/Duration: January 4, 2027 –   April 22, 2027

   Lecture: In-person Mon/Wed 11:30am-1:00pm

   Lab: In-person Fri 3:30pm-4:30pm

MATH 2070 WA / MATH 2070L W1 – Applied Analysis II

The first part of the course is an introduction to matrix algebra. Solutions of simultaneous equations. Gaussian elimination. Vector and matrix notation. Determinants. Linear independence. Eigenvectors and diagonalization.
The second part of the course is an introduction to probability and statistics. Simple ways of analyzing data. Concept of probability. Discrete and continuous probability. Point and interval estimation. Significance tests. Regression and correlation analysis.

Start Date/Duration: January 4, 2027 –   April 22, 2027

   Lecture: In-person Tues/Thurs 11:30am-1:00pm

   Lab: In-person Mon 3:30pm-4:30pm

Please note: This schedule is tentative and subject to change.  Instructors should refer to the online timetable prior to the start of classes.

Qualifications Preferred: PhD in Mathematics or related field with significant expertise related to the topic they will be teaching. The minimum requirement is a Master’s degree.

The ideal candidate will possess an appropriate combination of both academic and professional experience in a field related to the course. Experience teaching at the post-secondary level is preferred, and experience with experiential learning and online or alternative modes of delivery is highly desired. The Faculty of Science and Environmental Studies values and respects Indigenous traditional learning and knowledge and embraces various forms of teaching and learning where appropriate. Consequently, for Indigenous content focussed courses we will prioritize knowledge of Indigenous languages, community-based learning, and traditional knowledge above academic credentials, in the selection of candidates. For graduate courses, preference may be given to candidates who hold a PhD, or are working towards a PhD, combined with relevant professional experience.

Compensation

In accordance with Collective Agreement provisions, Contract Lecturers shall be remunerated at one of the three following levels:

Level 1: $8,355 (per HCE)

Level 2: $8,590 (per HCE)

Level 3: $9,059 (per HCE)

Lakehead is a comprehensive university with a reputation for innovative programs and cutting-edge research. Our campuses are located in Thunder Bay on the traditional lands of the Fort William First Nation, Signatory to the Robinson Superior Treaty of 1850 and in Orillia on the traditional territory of the Anishinaabeg, and Rama First Nation. Lakehead University acknowledges the history that many nations hold in the areas around our campuses and is committed to a relationship with Métis and Inuit and First Nations peoples. Lakehead has approximately 10,000 students and 2,160 faculty and staff. With an emphasis on collaborative learning and independent critical thinking and a multidisciplinary teaching approach, Lakehead offers a variety of degree and diploma programs at the undergraduate, graduate, and doctoral levels through its nine faculties, including Business Administration, Education, Engineering, Health and Behavioural Sciences, Natural Resources Management, Science and Environmental Studies, Social Sciences and Humanities, Graduate Studies, and Faculty of Law. For further information, please visit: www.lakeheadu.ca.

For further information, please contact Dr. Andrew Dean. Detailed information on the Department of Mathematics and our programs is available at: www.lakeheadu.ca/programs/departments/math.

Review of applications will begin on June 1st, 2026 and will continue until the position is filled. The electronic application (in the form of one PDF document) should include: a curriculum vitae, statement of teaching interests and/or evidence of teaching effectiveness. A completed Confirmation of Eligibility to Work in Canada.pdf form must accompany your package.  We encourage applicants with the Right of First Refusal (as outlined in article 19.03.02 of the LUFA/LU Collective Agreement) to indicate their status in their application.

Applicants should submit their electronic application to:

Department of Mathematics

Lakehead University

955 Oliver Road

Thunder Bay, ON P7B 5E1

Attn: Dr. Andrew Dean, Chair

E-mail:  math@lakeheadu.ca

Lakehead University is committed to creating a diverse and inclusive environment and welcomes applications from all qualified individuals including women, racialized persons, Indigenous people, persons with disabilities and other equity-seeking groups. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority. This is in accordance with Canadian immigration requirements.

Lakehead University has an Equity, Diversity and Inclusion Action Plan 2019-2024 with a goal to recruit and retain a diverse workforce as measured by increasing representation of under-represented groups among applicants, candidates and hires. We encourage candidates to self-identify, if you are from an under-represented group, and prefer candidates with the knowledge, competencies and relationships derived from lived experience. Experience working with Indigenous or racialized communities, and/or members of other equity-deserving groups is a strong asset. A lived experience or worked experience of any of these issues is preferred.

We appreciate your interest; however, only those selected for an interview will be notified. Lakehead University is committed to supporting an accessible environment. Applicants requiring accommodation during the interview process should contact the Office of Human Resources at (807) 343.8010 ext. 8334 or human.resources@lakeheadu.cato make appropriate arrangements.

This position is subject to budgetary approval.