Job Description

About the University of Niagara Falls Canada

Innovation Flows Here.

Officially opening its doors in 2024, the University of Niagara Falls Canada (UNF) is an innovative and digitally oriented institution that prepares graduates for leadership in the digital world. We believe in delivering programs that provide a direct pathway to meaningful careers in high-demand industries. UNF is part of the Global University Systems Canada group of institutions and Global University Systems, an international network of higher education institutions.

Our location

Our campus is located in historic downtown Niagara Falls. Beyond being Canada's #1 travel destination, Niagara Falls is a small vibrant city that offers up a slice of metropolitan living at a different pace. From world-class dining and entertainment options to luxury shopping and cultural experiences. Our location offers the amenities of a large urban centre within a comfortable, liveable community.

About the faculty and department

The Master of Data Analytics (MDA) program provides students with advanced analytical, computational, and problem-solving skills to address complex challenges in today's data-driven economy. Students gain expertise in big data, applied machine learning, cloud analytics, natural language processing, and social network analysis. Graduates will be equipped with the technical proficiency, critical thinking, and practical experience necessary to excel in analytics-focused careers across industries.

The Master of Data Analytics program invites applicationsfor the position

Sessional Instructor

for the following courses:DAMO 630: Advanced Data Analytics (ADA) CPSC 620: Agile Software Development DAMO 640: Machine Learning (ML)

Per course rate: $7,200 (paid in installments)

Academic Term: Winter 2026 ( January 5 - March 29, 2026)

Mode of Delivery:

This is a hybrid role. Sessional instructors are required to teach on -site for a minimum of 2 days per week, though this will depend on their teaching schedule.

Key Responsibilities:

Lecturing & Teaching:

Deliver engaging lectures and instructional content across multiple delivery modes (in-person, online, or hybrid) to create an inclusive, dynamic learning environment.

Course Materials:

Prepare, update, and maintain course materials, including assignments, quizzes, and exams. Ensure materials are accessible and relevant to students' learning.

Student Engagement:

Offer regular office hours to meet with students, address inquiries, and provide academic support.

Assessment & Grading:

Design and grade assignments, tests, and exams in a timely and consistent manner. Provide meaningful feedback to students on their progress.

Curriculum Development:

Collaborate on curriculum development to ensure course content is aligned with industry standards and trends.

Technology Integration:

Use internal software to manage grades, track progress, and update students on course material.

The successful candidate will have the following education and experience:

PhD or Doctorate

in Data Analytics, Computer Science, Mathematics, Statistics, or a closely related field preferred.

Master's degree with extensive industry experience

will also be considered. Expertise in one or more of following fields - big data analytics, data streams, NLP & sentiment analysis, social network mining, cloud analytics, recommendation systems, reinforcement learning, ensemble methods, dimensionality reduction, neural networks/deep learning. Relevant industry experience applying analytics and machine learning in real-world settings is preferred. Teaching or training experience in higher education or professional development programs is an asset.

Preferred competencies:

Teaching Excellence:

Demonstrated ability to design, deliver, and assess courses in data analytics and related fields, using student-centered and inclusive teaching approaches.

Research and Applied Expertise:

Strong problem-solving skills with the ability to connect theory to practice through research, case studies, and applied projects.

Communication:

Excellent interpersonal and presentation skills, able to engage diverse groups of learners.

Professionalism:

Diplomatic, ethical, and inclusive in interactions with students, colleagues, and the academic community.

Adaptability & Initiative:

Highly self-motivated, able to balance multiple teaching and other responsibilities in a dynamic academic environment..

Student Centric Approach:

Willingness to support students beyond the classroom when needed and foster a positive, engaging learning environment.

Application Process

Interested candidates are invited to submit a cover letter, curriculum vitae (CV) including evidence of teaching experience and scholarly accomplishments, a sample syllabi and teaching portfolio (if applicable), as well as the names of three references.

All documents must be submitted in electronic format (a single PDF document is preferred) Note: file maximum of 5MB per attached upload.

Use of AI Disclosure

University of Niagara Falls Canada (UNF), UNF is committed to a fair and transparent recruitment process. While AI tools assist us in identifying and communicating with candidates, applications are reviewed by our dedicated Talent Acquisition team to ensure a thorough evaluation of all candidates.

We value diversity and strive to create an inclusive environment where all individuals have an equal opportunity to succeed. We comply with all relevant laws and regulations in Ontario and adhere to the highest standards of ethical hiring. We are committed to protecting your personal information and ensuring that all data collected during the recruitment process is handled with the highest level of confidentiality.

Diversity, inclusion and equity

The University of Niagara Falls Canada (UNF) is strongly committed to equity, diversity, and inclusivity within its community and especially invites applications from all qualified candidates. Racialized persons / persons of color, women, Indigenous / Aboriginal People of North America, persons with disabilities, 2SLGBTQI+ persons, and others who may contribute to the further diversification of ideas are encouraged to apply.

We recognize that applicants may have had obligations outside of work that have negatively impacted their record of achievements (e.g., parental, elder care, and/or medical). You are not required to disclose these obligations in the hiring process. If you choose to do so, UNF will ensure that these obligations do not negatively impact the assessment of your qualifications for the position.

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

We will accommodate the needs of the applicants and the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA) throughout all stages of the selection process, please advise jobs@unfc.com to ensure your accessibility needs are accommodated through this process. Information received relating to accommodation measures will be addressed confidentially.

We appreciate all applications received; however, only candidates selected for an interview will be contacted.

We are situated on the traditional territory of the Haudenosaunee, Hatiwendaronk and Anishinaabe peoples. We also acknowledge the many other First Nations, Metis, and Inuit peoples who call this region home.

We commit to building relationships based on respect, reciprocity, and reconciliation as we work, learn, and gather on this land. Furthermore, we acknowledge that the Niagara Region is situated on treaty land, and we stand with all Indigenous peoples, past and present, in promoting the wise stewardship of the lands on which we live.