Postdoctoral Fellow Sessional Instructors : Department of Mathematics and Statistics

Postdoctoral Fellow Sessional Instructors : Department of Mathematics and Statistics

The Department of Mathematics & Statistics in the Faculty of Science at the University of Calgary is inviting applications for the Fall 2026 - Winter 2027 Sessional Instructorships for individuals applying to or holding a Postdoctoral appointment within the Department of Mathematics and Statistics.

Overview : 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 and / or Winter 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 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 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 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.
• 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.

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 on-line via the 'Apply Now' link. A complete application should be submitted as a single pdf, and include the following :

Notes :

Applications will be reviewed on an ongoing basis starting on February 1, 2026, and will be accepted until all positions are awarded.

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.

The University of Calgary is 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.

All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.

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