Description
The Department of Mathematics & Statistics in the Faculty of Science at the University of Calgary is inviting applications for the Fall 2026 - Summer 2027 Sessional Instructorships for individuals applying to or holding a Postdoctoral appointment within the Department of Mathematics and Statistics.
The successful candidates will have responsibilities for lecture instruction, lab co-ordination, and any other associated duties, for up to two of these courses offered during the Fall 2026, Winter 2027, Spring 2027 and/or Summer 2027.
The Department of Mathematics & Statistics in the Faculty of Science at the University of Calgary is looking for instructors for the following courses. All course components will be delivered in-person.
DATA 602 - Statistical Data Analysis
An introduction to the foundations of statistical inference including probability models for data analysis, classical and simulation-based statistical inference, and implementation of statistical models with R.
DATA 603 - Statistical Modelling with Data
An introduction to the creation of complex statistical models, including exposure to multivariate model selection, prediction, the statistical design of experiments and analysis of data in R.
MATH 211 - Linear Methods I
An introduction to systems of linear equations, vectors in Euclidean space and matrix algebra. Additional topics include linear transformations, determinants, complex numbers, eigenvalues, and applications.
MATH 249 - Introductory Calculus
An introduction to single variable calculus. Limits, derivatives and integrals of algebraic, exponential, logarithmic and trigonometric functions play a central role. Additional topics include applications of differentiation, the fundamental theorem of calculus, improper integrals and applications of integration.
MATH 265 - University Calculus I
An introduction to single variable calculus intended for students with credit in high school calculus. Limits, derivatives, and integrals of algebraic, exponential, logarithmic and trigonometric functions play a central role. Additional topics include applications of differentiation; the fundamental theorem of calculus, improper integrals and applications of integration. Differential calculus in several variables will also be introduced.
MATH 267 - University Calculus II
A concluding treatment of single variable calculus and an introduction to calculus in several variables. Single variable calculus: techniques of integration, sequences, series, convergence tests, and Taylor series. Calculus of several variables: partial differentiation, multiple integration, parametric equations, and applications.
MATH 271 - Discrete Mathematics
An introduction to proof techniques and abstract mathematical reasoning: sets, relations and functions; mathematical induction; integers, primes, divisibility and modular arithmetic; counting and combinatorics; elements of probability, discrete random variables and Bayes' theorem.
MATH 275 - Calculus for Engineers and Scientists
An extensive treatment of differential and integral calculus in a single variable, with an emphasis on applications. Differentiation: derivative laws, the mean value theorem, optimization, curve sketching and other applications. Integral calculus: the fundamental theorem of calculus, techniques of integration, improper integrals, and areas of planar regions. Infinite series: power series, Taylor's theorem and Taylor series.
MATH 277 - Multivariable Calculus for Engineers and Scientists
An introduction to calculus of several real variables: curves and parametrizations, partial differentiation, the chain rule, implicit functions; integration in two and three variables and applications; optimization and Lagrange multipliers.
MATH 311 - Linear Methods II
An introductory course in the theory of abstract vector spaces: linear independence, spanning sets, basis and dimension; linear transformations and the rank-nullity theorem; the Gram-Schmidt algorithm and orthogonal diagonalization; and other applications.
MATH 375 - Differential Equations for Engineers and Scientists
Definition, existence and uniqueness of solutions; first order and higher order equations and applications; Homogeneous systems; Laplace transform; partial differential equations of mathematical physics.
STAT 205 - Introduction to Statistical Inquiry
The systematic progression of statistical principles needed to conduct a statistical investigation culminating in parameter estimation, hypothesis testing, statistical modelling, and design of experiments.
STAT 213 - Introduction to Statistics I
Introduction to probability, including Bayes' law, expectations and distributions. Discrete and continuous random variables, including properties of the normal curve. Collection and visual display of single and multi-dimensional data. Introduction to statistical modelling and estimation. Parametric and simulation-based confidence interval estimation.
STAT 217 - Introduction to Statistics II
Parametric and simulation-based hypothesis testing, and associated errors. Confidence intervals and hypothesis testing for differences between two parameters, both parametric and simulation-based. Tests of association and goodness-of-fit. Statistical modeling and parametric testing of both the simple and multiple-model. Diagnostic checking. Analysis of variance.
STAT 321 - Introduction to Probability
A calculus-based introduction to probability theory and applications. Elements of probabilistic modelling, Basic probability computation techniques, Discrete and continuous random variables and distributions, Functions of random variables, Expectation and variance, Multivariate random variables, Conditional distributions, Covariance, Conditional expectation, Central Limit Theorem, Applications to real-world modelling.
STAT 323 - Introduction to Theoretical Statistics
Statistics and their distributions. Introduction to statistical inference through point estimation and confidence interval estimation of a population parameter. Properties of statistics including unbiasedness and consistency in estimation. Single parameter hypothesis testing, Type I and Type II Error. Multi-parameter estimation through confidence interval estimation and hypothesis testing. The analysis of bivariate data through simple linear regression, including inferences on the parameters of the linear model and the analysis of variance. Chi-square test of independence and goodness of fit test.
STAT 327 - Statistics for the Physical and Environmental Sciences
Introduction to the collection of data. Probability and probability distributions. Single and Multi-sample estimation of distribution parameters. Regression and Goodness of Fit tests. Experimental Design and Analysis of Variance.
ACSC 327 - Life Contingencies I
The survival function, force of mortality, life tables, analytical laws of mortality, life insurance, continuous and discrete life annuities, recursion equations. Introduction to benefit premiums and/or insurance and annuity models with interest as a random variable as time permits.
Fall 2026 Term Dates: August 24, 2026, to December 24, 2026, inclusive.
Winter 2027 Term Dates: January 4, 2027, to April 30, 2027, inclusive.
Spring 2027 Term Dates: May 1, 2027 to June 22, 2027, inclusive.
Summer 2027 Term Dates: June 28, 2027 to August 18 2027, inclusive.
Please note that the courses are tentative, pending sufficient enrollments.
Qualifications:
Applicants should have at minimum a PhD in Mathematics or Statistics, or a closely related discipline. Applicants must concurrently apply to, or hold a continuing, Postdoctoral appointment in the Department of Mathematics and Statistics.
Please apply online via the 'Apply Now' link. A complete application should be submitted as a single pdf, and include the following:
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Cover letter
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Current curriculum vitae
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Statement of teaching philosophy, including fostering an inclusive learning environment
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Evidence of teaching effectiveness
- Three letters of reference (can be submitted with the pdf application or sent under separate cover, by the application deadline to [email protected])
Notes:
- Applicants who have taught as a sessional instructor in the Faculty of Science within the past two years may choose to only submit a cover letter and current CV.
- Multiple individuals may be hired to instruct different courses and, therefore, applicants are encouraged to indicate the course(s) they are interested in and qualified to teach.
Applications will be reviewed on an ongoing basis starting on February 1, 2026, and will be accepted until all positions are awarded.
Please visit https://science.ucalgary.ca/mathematics-statistics for further information about the Department of Mathematics and Statistics.
Remuneration is calculated according to the Collective Agreement, Schedule B. Please see the Faculty Association's website at www.tucfa.com for further information regarding conditions of employment and remuneration.
As per the Collective Agreement, the Department of Mathematics and Statistics will adhere to the right of first refusal terms (Section 23.12.1 and 23.12.2) for Sessional Appointments.
Thank you for submitting your online application. Only those candidates chosen to proceed in the selection process will be contacted.
The University of Calgary has launched an institution-wide Indigenous Strategy committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do.
As an equitable and inclusive employer, the University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. In particular, we encourage members of the designated groups (women, Indigenous peoples, persons with disabilities, members of visible/racialized minorities, and diverse sexual orientation and gender identities) to apply. To ensure a fair and equitable assessment, we offer accommodation at any stage during the recruitment process to applicants with disabilities. Questions regarding [diversity] EDI at UCalgary can be sent to the Office of Institutional Commitments ([email protected]) and requests for accommodations can be sent to Human Resources ([email protected]).
All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority. In this connection, at the time of your application, please answer the following question: Are you a Canadian citizen or a permanent resident of Canada? (Yes/No)
For a listing of all academic opportunities at the University of Calgary, view our Academic Careers website. For more information about the Faculty of Science, click here.
About the University of Calgary
UCalgary is Canada's entrepreneurial university, located in Canada's most enterprising city. It is a top research university and one of the highest-ranked universities of its age. Founded in 1966, its 36,000 students experience an innovative learning environment, made rich by research, hands-on experiences and entrepreneurial thinking. It is Canada's leader in the creation of start-ups. Start something today at the University of Calgary. For more information, visit ucalgary.ca.
About Calgary, Alberta
Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders - in business, community, philanthropy and volunteerism. Calgarians benefit from a growing number of world-class dining and cultural events and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the majestic Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America.
