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Contract Instructor Teaching Opportunities Fall 2026 and Winter 2027

Contract Instructor Application

Pursuant to Article 16.3 of the CUPE 4600 Unit 2 Collective Agreement, subject to Article 16.2 and 16.4 through 16.7, applications are invited from members of the CUPE 4600 bargaining unit and other interested persons to teach the following courses in the Fall 2026 and Winter 2027 terms.

Carleton University is committed to employment equity and fostering a culture of inclusion. We encourage applications from individuals who would contribute to the diversity of our campus, including women, visible minorities, First Nations, Inuit, and Métis peoples, persons with disabilities, and persons of any sexual orientation or gender identity and expression.

Application Details

Qualifications: 

Candidates should have excellent communication and presentation skills, and a high level of up-to-date expertise in the subject of the course, established through industrial experience and/or research in academia or government labs. They should have a Master’s degree (PhD preferred) in Information Technology, Computer Science, Design, or another discipline related to the course they are applying for. Alternatively, a Bachelor’s degree in a related field plus relevant work experience in lieu of a graduate degree will be considered. Previous teaching experience in the subject area is not required but is considered an asset.

Application Process:

Contract Instructor Application

Applications, in the form of a single PDF including a cover letter and CV, should be addressed to:

For more information, please contact:

Posting Date:

Application Deadline: 

Posting Type (Regular/Late): 

Remuneration: 

The current stipend for contract instructors can be found in the CUPE 4600-2 Collective Agreement, Article 22.

Contract Instructor Salaries for Fall 2026 and Winter 2027 courses:

Opening Positions:

Fall 2026

OSS 3003: Fundamentals of Electromagnetics

Review of basic vector calculus followed by an introduction to electrostatics and magnetostatics. Maxwell’s equations and EM wave solutions. EM waves in dielectrics media, reflection, refraction, Fresnel relations and Brewster angle. Introduction to guided waves emphasizing slab waveguides.

OSS 3012: Digital Signal Processing

Operations-related topics including: sampling/reconstruction of continuous time signals, Fourier and Z-transforms, Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT). Examination of other time and frequency domain techniques for designing and applying infinite impulse response (IIR) and finite impulse response (FIR) digital filters.

OSS 4008: Remote Sensing

Introduction to the basics of remote sensing, characteristics of remote sensors, and applications. Topics include: image acquisition and data collection, LIDAR sensors and platforms and derived digital products, imagery analysis, topographic mapping, and 3D modeling of urban infrastructure for autonomous vehicles.

Winter 2027

NET 4000: Emerging Network Technologies

Overview of technologies, protocols and techniques related to Information Technology networking that are either in their early stage of adoption or are not yet mainstream (i.e. beta or prototype stage). Focus will vary from year to year to reflect the evolutionary nature of this domain.

IRM 4004: Applied Machine Learning and Big Data Analytics

Introduction to Machine Learning and Big Data Analytics. Topics include: Association Rule Mining, Classification, Clustering, Linear and Logistic Regression, Distributed File System, Batch and Stream Data Processing, and other related. Applications on other domains such as multimedia, networks, finance, and/or business.

Filled Positions:

The following courses have been assigned to graduate students, postdoctoral fellows, or visiting scholars. These courses are NOT open for applications. If you are an incumbent for a course below, you may contact the School to review the rights under Article 17.6 of the CUPE 4600-2 Collective Agreement.

Fall 2026

OSS 4006: Image Processing

Developing and evaluating algorithms for extracting the necessary information signals. Topics include filter design, fast transforms, adaptive filters, spectrum estimation and modeling, sensor array processing, image processing, motion estimation from images, applications in biomed, computer-aided tomography, image restoration, robotic vision, and pattern recognition.

Winter 2027

IRM 2006: Data Visualisation

Web-based data visualization techniques and systems. Good design practices for visualization, tools for visualization of data from a variety of fields, and programming of interactive web-based visualizations focusing on JavaScript, CSS, and related libraries.

ITEC 1401: Introduction to Scripting and Problem Solving

Introduction to basic concepts of object-oriented scripting and algorithm design in Python. Topics include: basic variables, functions, operators, program control with iteration and conditionals, I/O operations, text and file processing, arrays, tuples, lists, debugging, algorithms and pseudocode, computer architecture, operating systems, and libraries.

OSS 3014: Optical Waves, Waveguides, & Sensors

Analysis of guided-wave propagation and sensors. Topics include Maxwell’s time-dependent wave equations, dielectric waveguides (slab, planar, segmented, rib, strip), optical fibres (modes, dispersion relations, propagation in dispersive media, nonlinear fibres), beam propagation methods, free space beam propagation, waveguide devices, and study of sensors technology.

OSS 4009: Computer Vision

Introduction to topics in computer vision, including: fundamentals of image formation, camera imaging geometry, f camera models, camera calibration, structure from motion, feature detection and matching, depth and stereo, image stabilization, image classification, automated alignment, scene understanding, recognition, and image searching.

A Note To All Applicants: 

As per Articles 16.3 and 16.4 in the CUPE 4600-2 Collective Agreement, the posted vacancies listed above are first offered to applicants meeting the incumbency criterion. A link to the current CUPE 4600-2 Collective Agreement can be found at the Academic Staff Agreements webpage on the CUPE 4600 website (https://www.cupe4600.ca/).

Applicants requiring accommodations at any stage of the recruitment process are encouraged to contact the Unit Chair or Director to ensure appropriate arrangements can be made in a timely manner.

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