About the role
ASSISTANT PROFESSOR, PSYCHOLOGY
DEPARTMENT OF PSYCHOLOGY, FACULTY OF ARTS AND SCIENCE
Competition No. 25.10.273
CATEGORY
SALARY
CLOSING DATE
Full-Time Tenure-Track
Commensurate with qualifications and experience. New hires will normally be placed within the first 8 steps of the Assistant Professor salary table.
A review of applications will begin November 11, 2025, and continue until a suitable candidate is found.
About Us
MacEwan University is where caring faculty help people connect their passions to their future paths. Located in the heart of Edmonton’s diverse and dynamic downtown community, and on the traditional lands of Treaty 6 First Nations and homelands of the Métis people, MacEwan is known for exceptional undergraduate learning. With its dedication to teaching excellence, informed by scholarly research, innovation, and creative activity, MacEwan provides an exceptional collaborative and supportive learning environment with a commitment to human rights, environmental sustainability, and opportunities for community engagement. We are committed to creating an equitable, diverse, inclusive, and welcoming community for all peoples, cultures, and identities.
Our comprehensive undergraduate university offers 55 programs to just under 20,000 full- and part-time students in business, communications, community and human services, design, fine and performing arts, health, humanities, natural science, nursing, public safety, and social science. Through a wide array of experiential learning opportunities, and strategic relationships in the community, we partner with others to produce graduates of stature. Along with a robust grounding in their chosen disciplines, MacEwan students are given durable life skills that prepare them to take on the world.
Opportunity
The Department of Psychology in the Faculty of Arts and Science invites applications for an entry-level, full-time, tenure-track appointment in Quantitative Methods / Data Science for Psychology at the rank of Assistant Professor, commencing July 1, 2026, subject to final budgetary approval.
You will join a collegial department of more than 20 full-time faculty whose teaching and research span cognitive, biological, developmental, social, and applied domains. Psychology is the largest major in the Faculty of Arts and Science, with particularly strong student interest in courses related to brain and behavior.
We offer a robust undergraduate research ecosystem—including honours theses, independent studies, and research assistantships—that enables students to contribute meaningfully to faculty-led projects.
You will be expected to teach second- and third-year courses in research methods and data science, as well as develop senior-level courses within your area of expertise and contribute to teaching Introductory Psychology. The ability to teach courses related to statistics, programming for psychological research, computational psychology/neuroscience, and applied data analysis will be considered an asset.
You must have, or be close to completion of, a terminal degree in Psychology with a specialization in Quantitative Methods, Data Science, or a closely related field. Applicants with expertise in advanced statistical modeling, machine learning, large-scale data analysis, or applied behavioural data science are particularly encouraged to apply. You will demonstrate a primary commitment to undergraduate teaching and an ongoing research program.
You will submit a cover letter, curriculum vitae, teaching dossier (including recent teaching evaluations), statement of research interests, and sample of scholarly work.
Only shortlisted candidates will be contacted by the Department Chair to provide three (3) letters of reference sent directly from referees.
Only selected candidates will be required to submit official transcripts sent directly from the institutions where you completed your degrees.
Questions about this opportunity may be addressed to Eric Legge, Department Chair, at Eric.Legge@macewan.ca.
About MacEwan University
Founded in 1971, MacEwan University provides student-focused instruction in a warm and supportive atmosphere. We focus on teaching, so our students can focus on learning. It’s been a cornerstone of who we are for more than 50 years. And we continue to build on that reputation.
Offering more than 65 programs, the university provides a transformative education in a collaborative and supportive learning environment. Creativity thrives here through research and innovation that engages students, faculty and the community.
Learn more about our programs: MacEwan.ca/Programs
Passion and dedication have made MacEwan the university it is today and have created the foundation for what it will be in the years ahead. As an outstanding educational organization, we rely on our employees' collaboration and expertise to keep us on the right path. So when we look to the future, and as MacEwan University continues to expand and innovate, we are always seeking exceptional individuals to join our team.
Learn more about working at MacEwan University: MacEwan.ca/HR
About the role
ASSISTANT PROFESSOR, PSYCHOLOGY
DEPARTMENT OF PSYCHOLOGY, FACULTY OF ARTS AND SCIENCE
Competition No. 25.10.273
CATEGORY
SALARY
CLOSING DATE
Full-Time Tenure-Track
Commensurate with qualifications and experience. New hires will normally be placed within the first 8 steps of the Assistant Professor salary table.
A review of applications will begin November 11, 2025, and continue until a suitable candidate is found.
About Us
MacEwan University is where caring faculty help people connect their passions to their future paths. Located in the heart of Edmonton’s diverse and dynamic downtown community, and on the traditional lands of Treaty 6 First Nations and homelands of the Métis people, MacEwan is known for exceptional undergraduate learning. With its dedication to teaching excellence, informed by scholarly research, innovation, and creative activity, MacEwan provides an exceptional collaborative and supportive learning environment with a commitment to human rights, environmental sustainability, and opportunities for community engagement. We are committed to creating an equitable, diverse, inclusive, and welcoming community for all peoples, cultures, and identities.
Our comprehensive undergraduate university offers 55 programs to just under 20,000 full- and part-time students in business, communications, community and human services, design, fine and performing arts, health, humanities, natural science, nursing, public safety, and social science. Through a wide array of experiential learning opportunities, and strategic relationships in the community, we partner with others to produce graduates of stature. Along with a robust grounding in their chosen disciplines, MacEwan students are given durable life skills that prepare them to take on the world.
Opportunity
The Department of Psychology in the Faculty of Arts and Science invites applications for an entry-level, full-time, tenure-track appointment in Quantitative Methods / Data Science for Psychology at the rank of Assistant Professor, commencing July 1, 2026, subject to final budgetary approval.
You will join a collegial department of more than 20 full-time faculty whose teaching and research span cognitive, biological, developmental, social, and applied domains. Psychology is the largest major in the Faculty of Arts and Science, with particularly strong student interest in courses related to brain and behavior.
We offer a robust undergraduate research ecosystem—including honours theses, independent studies, and research assistantships—that enables students to contribute meaningfully to faculty-led projects.
You will be expected to teach second- and third-year courses in research methods and data science, as well as develop senior-level courses within your area of expertise and contribute to teaching Introductory Psychology. The ability to teach courses related to statistics, programming for psychological research, computational psychology/neuroscience, and applied data analysis will be considered an asset.
You must have, or be close to completion of, a terminal degree in Psychology with a specialization in Quantitative Methods, Data Science, or a closely related field. Applicants with expertise in advanced statistical modeling, machine learning, large-scale data analysis, or applied behavioural data science are particularly encouraged to apply. You will demonstrate a primary commitment to undergraduate teaching and an ongoing research program.
You will submit a cover letter, curriculum vitae, teaching dossier (including recent teaching evaluations), statement of research interests, and sample of scholarly work.
Only shortlisted candidates will be contacted by the Department Chair to provide three (3) letters of reference sent directly from referees.
Only selected candidates will be required to submit official transcripts sent directly from the institutions where you completed your degrees.
Questions about this opportunity may be addressed to Eric Legge, Department Chair, at Eric.Legge@macewan.ca.
About MacEwan University
Founded in 1971, MacEwan University provides student-focused instruction in a warm and supportive atmosphere. We focus on teaching, so our students can focus on learning. It’s been a cornerstone of who we are for more than 50 years. And we continue to build on that reputation.
Offering more than 65 programs, the university provides a transformative education in a collaborative and supportive learning environment. Creativity thrives here through research and innovation that engages students, faculty and the community.
Learn more about our programs: MacEwan.ca/Programs
Passion and dedication have made MacEwan the university it is today and have created the foundation for what it will be in the years ahead. As an outstanding educational organization, we rely on our employees' collaboration and expertise to keep us on the right path. So when we look to the future, and as MacEwan University continues to expand and innovate, we are always seeking exceptional individuals to join our team.
Learn more about working at MacEwan University: MacEwan.ca/HR