Careers at Smith

A Platform for Success

Smith School of Business at Queen's University is an exceptional place for scholars to develop their academic careers.

Here, you as a faculty member are positioned to succeed. You can count on generous support for your research, because we pride ourselves on being a school that generates new knowledge. You will be motivated by an inquisitive and accomplished faculty, because we value collaboration. And you will have time to refresh your batteries and enjoy what Eastern Ontario has to offer, because we are committed to a healthy work-life balance.

Smith School of Business is part of the larger Queen’s community, a university with a reputation for quality, excellence, and global reach. Queen’s consistently ranks at the top for awards per full-time faculty in Canada and in the top for research intensity. We are consistently ranked among the top five universities in Canada for the highest proportion of students who graduate.

We encourage to learn more about Smith School of Business as a rewarding centre of personal and professional growth.

Learn more Research Program Reference Guide

Positions Available

Workshop Facilitator - High Performance Teams (MMAI Program)

A Workshop Facilitator position is open at the Smith School of Business to facilitate the High Performance Teams Workshop in our Master of Management in Artificial Intelligence (MMAI) program. This workshop takes place over 1.5 days on Saturday, August 13, 2021 (8:30AM – 5:30PM) and Sunday, August 14, 2021 (8:30AM – 12:30 PM). The expectation is that future offerings will be offered in person during residential sessions held in Kingston (COVID health restrictions permitting).

Read Details

Non-Renewable Faculty Position in Management Analytics

Smith School of Business at Queen’s University (Kingston, Ontario, Canada) invites applications for a Non-Renewable Replacement position in Management Analytics. The rank is open, with a preferred starting date of as soon as possible. The duration of the position will be approximately 1.5 years (depending on the start).

Read Details

Term Adjunct – Mathematics for Artificial Intelligence (MMAI 863)

A Term Adjunct position is open at the Smith School of Business for an instructor to teach in a lecture-style graduate course. The course is anticipated to include in-person instruction (and remote instruction if required) that will operate out of our Toronto facility in the Master of Management in Artificial Intelligence (MMAI) program. Most of the students in the MMAI program are working professionals with approximately eight years of experience. They are managers and leaders in their domain. Students come from varied educational backgrounds, such as Commerce, Engineering, Medicine, Statistics, and Arts. The position is to teach the Mathematics for Artificial Intelligence (AI) course, MMAI 863, which is taught during the fall term. Teaching the Mathematics for AI course will generally include teaching fourteen "four-hour" sessions (i.e. seven per section) in September and October 2021. The successful applicant will be required to teach 100% of two (2) sections of MMAI 863 with an anticipated enrollment of approximately 100 students (50 students per section).

Read Details

Term Adjunct – Financial Statement Analysis and Accounting Based Valuation (COMM 411)

A Term Adjunct position is open at the Smith School of Business for an instructor to teach at our Kingston (main) campus in a lecture-style undergraduate course. The course is anticipated to include in-person instruction (and remote instruction if required) in the Commerce program. The position is to teach the Financial Statement Analysis and Accounting Based Valuation course, COMM 411, which is taught during the fall term. Teaching this course will generally include teaching twelve "three-hour" sessions from September to December 2021. The successful applicant will be required to teach 100% of one (1) section of COMM 411 with an anticipated enrollment of approximately 55 students.

Read Details

Term Adjunct – Big Data Analytics (MMA 865)

A Term Adjunct position is open at the Smith School of Business for an instructor to teach at our Toronto facility in a lecture-style graduate course. The course is anticipated to include in-person instruction (and remote instruction if required) in the Master of Management Analytics program. The MMA program is made up of working professionals from across all industries, with the largest representation from financial services, consulting, and technology. On average, MMA students have seven years of work experience and a few years of management experience. By the time they reach this course in the program, these students have a good foundation in analytics and analytical decision making, statistical modelling, and analytical application to various business areas including Marketing and Operations/Supply Chain. The position is to teach the Big Data Analytics course, MMA 865, which is taught during the summer and fall terms. Teaching this course will include teaching seven "four-hour" sessions (per section) from August to October 2021. The course runs for 7 weeks in a row, and is scheduled from 5:30-9:30 pm on each of Wednesday and Thursday for that 7 week period. Additional office hours may be held outside of those hours. The successful applicant will be required to teach 100% of two (2) sections of MMA 865 with an anticipated enrollment of approximately 60 students per section.

Read Details

Term Adjunct – Topics on Analytics (MBAS 862)

A Term Adjunct position is open at the Smith School of Business for an instructor to teach at our Kingston (main) campus in a lecture-style graduate course. The course is anticipated to include in-person instruction (and remote instruction if required) in the Master of Business Administration (MBA) program. The position is to teach the Topics on Analytics course, MBAS 862, which is taught during the summer and fall terms. Teaching this course will generally include teaching ten to twelve "three-hour" sessions from August to September 2021. The successful applicant will be required to teach 100% of one (1) section of MBAS 862 with an anticipated enrollment of approximately 25 students.

Read Details

Ceren Kolsarici

“I was pretty clear what I was looking for in an academic setting: a school that supports and rewards high quality research and teaching, and one that has distinguished students who would challenge and push me to do better. I was looking for an environment with a continuous motivation to change, adapt, and improve.”

Ceren Kolsarici
Assistant Professor & Distinguished Faculty Fellow of Marketing
Joined Smith School of Business faculty in 2009

Read More