Job Description

Description

Sessional Instructors: Department of Mathematics and Statistics, Faculty of Science

The Department of Mathematics and Statistics, within the Faculty of Science, invites applications for

Winter 2026

Sessional Instructor(s).


The successful candidates will have responsibilities for lecture instruction, lab co-ordination, and any other associated duties, for these courses offered during the Winter 2026 session. If the assigned lecture section is part of a coordinated course, then the successful candidate will be expected to follow any course assessments and policies that are established by the course coordinator. Please note that the contract start date for all Winter sessional positions is December 1, 2025.

DATA 606 - Statistical Methods in Data Science

Design of surveys and data collection, bias and efficiency of surveys. Sampling weights and variance estimation. Multi-way contingency tables and introduction to generalized linear models with emphasis on applications.

DATA 607 - Statistical and Machine Learning

Latent variable models for clustering and dimension reduction. Parametric and nonparametric methods for regression and classification including naive Bayes, decision trees, random forests, and boosting. Model assessment and selection. Deep learning.

DATA 609 - Modelling of Financial and Energy Markets Data

Coverage of main tools and techniques for modelling, machine learning and statistical analysis of big data in financial and energy markets. Topics will include: a simple financial and energy market models; risk-free and risky assets data modelling; discrete-time and continuous-time financial and energy market data modelling (CRR, Black-Scholes); modelling of forwards, futures, swaps in financial and energy markets; risk-neutral valuation, options, option pricing with financial and energy markets data; world energy data trends-crude oil, natural gas, and electricity; renewable energy data modelling: wind, solar, etc.

DATA 610 - Advanced Modelling of Financial and Energy Markets Data

More advanced coverage of tools and techniques for modelling of financial and energy markets data. Topics will include: modelling of dynamics for forwards and futures in energy and options in financial markets data; Black-76 and Margrabe's formulas for pricing of futures and options contracts; modelling paradigms beyond Black-76; data modelling with stochastic interest rates; one-, two- and three-factor Schwartz's models (with stochastic convenience yield and interest rate) for pricing forward and futures data in energy markets; modelling of high-frequency and algorithmic trading data.

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 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.

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.

Teaching Schedule:

To be confirmed. Please monitor https://science.ucalgary.ca/mathematics-statistics/courses-and-outlines for updates to course times.

Delivery Mode:

All course components will be delivered in-person.

Winter 2026 Term Dates:

Monday, January 5, 2026 to Thursday, April 30, 2026.

Contract Start Date:

Monday, December 1, 2025

Qualifications:

Applicants should have a minimum of an MSc in Mathematics and Statistics or a closely related discipline, however, a PhD is preferred. Preference will be given to graduate students and postdocs in our program looking to obtain teaching experience, followed by applicants with a postgraduate degree.


Please apply online via the 'Apply Now' link. A complete application should be submitted in a single pdf, and include the following:

Cover letter. Current curriculum vitae. Statement of teaching philosophy, including fostering an inclusive learning environment. 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 sci.admins@ucalgary.ca.

NOTE:

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.

Application Deadline:

October 2, 2025


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

(

equity@ucalgary.ca

) and requests for accommodations can be sent to Human Resources (

hrhire@ucalgary.ca).

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.