Faculty/Department Faculty of Engineering and Applied Science Unit Engineering-Dean\'s Office Employee Group URFA CUPE 5791 Job Family N/A Category Sessional Number of Vacancies 1 Position Summary
This course covers the basics of Machine Learning (ML) and its application in the Cloud. It will guide students in understanding and using ML models efficiently on various Cloud platforms. Position Requirements
A minimum of a Bachelor of Applied Science or Bachelor of Engineering degree. Applicants will have related experience appropriate to the content in the course description as listed above. Previous teaching experience at a post secondary educational institution is an asset. Excellent written and oral communication skills and presentation skills. Submission of a one page statement of teaching philosophy as it relates to the course. Physical Demands Pay Grade Faculty Sessional Salary Range As per URFA Collective Agrement Status Term Work Hours Duration (if Term/Temporary) September 1, 2024 - December 31, 2024 Full-Time/Part-Time Other Preference Posting No Preference Target Posting Not Targeted

Additional Information



Contact Information
R. Fahlman \xe2\x80\x93 robyn.fahlman@uregina.ca


Job Open Date
05/27/2024


Job Close Date
06/09/2024


Open Until Filled



Special Application Instructions
Please include submission of a one page statement of teaching philosophy as it relates to the course.

For existing Sessionals: You may upload new curriculum vitae and teaching dossier with your application or you may use previously uploaded documents. Existing sessional instructors do not have to provide new references and transcripts with each application. They may use previously uploaded documents.
If you require further information regarding this competition please contact the faculty/department you are applying to.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.


Diversity Statement
The University of Regina is committed to an inclusive workplace that reflects the richness of the community that we serve. The University welcomes applications from all qualified individuals, including individuals within the University\xe2\x80\x99s employment equity categories of women, persons with disabilities, members of visible minorities, Indigenous persons, individuals of diverse gender and sexual orientation and all groups protected by the Human Rights Code.