APSC 141 Introduction to Computer Programming for Engineers 1

Positions Available - 1

MINE 321 Drilling and Blasting

Positions Available - 1

MINE 459-Asset Reliability Management/MINE 851-Risk Analysis for Industrial Asset Management, Health & Safety

Positions Available – 1

MINE 467 Geostatistics and Orebody Modelling

Positions Available – 1

MINE 885  Mineral Processing

Positions Available - 1

Qualifications 

Minimum of M.Sc. in Mining Engineering or related field and must hold a professional engineering registration in Canada.  Previous teaching experience at the University level considered an asset.  Previous educational background and/or experience must be suited to teaching the course described below.  Candidates must have excellent communication and presentation skills, as well as being capable of working as a member of a teaching team.

APSC 141 Introduction to Computer Programming for Engineers 1

Course Description

Units: 1.3

This course introduces concepts and practice of computer programming. The emphasis is on the design of correct and efficient algorithms, introducing variables, operators, flow control, and conditions. Applications are made to engineering problems.

Course Details 

Format: lecture: Yes; lab: Yes; tutorial: No, for 5 weeks 

Audience: undergraduate level students

Location: in person on campus at Kingston, ON

Lab Supervision - Yes

Expected Enrolment (subject to change):  800+ students 

Percentage of Responsibility: 100%

Lectures for APSC 141 are on-line, asynchronous (no instruction required by instructor) while labs are in-person, instructor lead, from weeks 2 to 5 (September 14 to October 9).  Exams are in-person during week 6 (October 19 to October 23) with supplementary exams occurring in the following weeks.

Enrollment is split into 4 sections (approximately 200 students per section). Each section has two hours of lab per week, for a total 8 hours of lab time per week lead by the course instructor.

This course may have an Academic Assistant and will have Teaching Assistant support.

MINE 321 Drilling and Blasting

Course Description

Units: 4.5

This course deals with the principles of commercial explosives technology and the application of blasting in mining and construction. The planning, design, economic considerations and trends of drilling and blasting practices in the different segments of the mining and construction industries are considered. Topics covered are detonation theory, performance and sensitivity of explosives, fragmentation prediction measurement and control, vibrations from blasting, air blast, damage and special blasting techniques used in perimeter blasting and blast design methods.

Course Details 

Format: 3 lecture hours, 1.5 lab hours and no tutorials per week for twelve weeks. (Lec: 3, Lab: 1.5, Tut: 0) 

Audience: undergraduate level students

Location: lectures in person on campus at Kingston, ON.  Labs in person at Blasting Laboratory Site at Verona, Ontario

Lab Supervision - Yes

Expected Enrolment (subject to change):  60 students 

Percentage of Responsibility: 100%

The successful incumbent will have full responsibility for the course. Lectures for the above course will be taught in person on campus in Kingston, Ontario and labs will be taught in person at the Blasting Lab site in Verona, Ontario on Saturday’s for approximately 6-8 weeks (depending on final enrolment numbers) mid-term.  

MINE 459-Asset Reliability Management 

Course Description

Units: 4.0

This course introduces those principals of geostatistics used in evaluating grade distribution in orebodies from drillhole data. Basic concepts of spatial distributions, sampling, distance weighted averages, and variograms are covered. Cases from practice will be employed to illustrate concepts. Use of commercially available software to carry out geostatistical calculations and graphical representation will be made. Utilizing these techniques, students will develop a block model of ore grade distribution for an orebody and then apply this model to a mine pre-feasibility study in a subsequent course.

Course Details 

Format: 3 lecture hours, 0 lab hours and 1 tutorial hour per week for twelve weeks. (Lec: 3, Lab: 0, Tut: 1) 

Audience: undergraduate level students

Location: in person on campus at Kingston, ON

Lab Supervision - No

Expected Enrolment (subject to change):  50 students 

MINE 851 - Risk Analysis for Industrial Asset Management, Health & Safety

Course Description

Units: 3.0

This course covers the analytical techniques and tools which form the foundations required for effective life-cycle management of physical assets, as well as for occupational health and safety management systems. The course uses risk analysis as the primary lens to investigate and evaluate a broad range of industrial challenges, ranging from equipment reliability and maintenance planning strategies, through to identification and mitigation of workplace health and safety hazards. Selected topics in industrial hygiene, including exposure limits, are surveyed. Methodologies covered include Failure Mode, Effects, and Criticality Analysis (FMECA), Reliability Centred Maintenance (RCM), and Internal Responsibility Systems (IRS) for Safety Management.

Course Details 

Format: 3 lecture hours, 0 lab hours and 0 tutorial hour per week for twelve weeks. (Lec: 3, Lab: 0, Tut: 0) 

Audience: graduate level students

Location: in person on campus at Kingston, ON

Lab Supervision - No

Expected Enrolment (subject to change):  50 students 

The successful incumbent will have full responsibility for both courses. The above two course will be taught concurrently including lectures; stipend will be based on a single course. The stipend for this position will be between $9,500 and $11,500. Actual salary will be commensurate with years of teaching experience and course weight, as per the Queen’s-QUFA Collective Agreement.

MINE 467 Geostatistics and Orebody Modelling

Course Description

Units: 4.5

This course introduces those principals of geostatistics used in evaluating grade distribution in orebodies from drillhole data. Basic concepts of spatial distributions, sampling, distance weighted averages, and variograms are covered. Cases from practice will be employed to illustrate concepts. Use of commercially available software to carry out geostatistical calculations and graphical representation will be made. Utilizing these techniques, students will develop a block model of ore grade distribution for an orebody and then apply this model to a mine pre-feasibility study in a subsequent course.

Course Details 

Format: 3 lecture hours, 1.5 lab hours and no tutorials per week for twelve weeks. (Lec: 3, Lab: 1.5, Tut: 0) 

Audience: undergraduate level students

Location: in person on campus at Kingston, ON

Lab Supervision - Yes

Expected Enrolment (subject to change):  33 students 

Percentage of Responsibility: 100%

MINE 885  Mineral Processing

Course Description

Units: 3.0

This course presents the unit operations in mineral processing, and discusses process selection criteria, considering new available technologies. Equipment selection, efficiencies, and performance are analyzed in light of product requirements for subsequent metallurgical operations. Techno-economic and environmental aspects are discussed. 

Course Details 

Format: lecture, 1.5 lab hours and no tutorials per week for twelve weeks

Audience: graduate level students

Location: in person on campus at Kingston, ON

Lab Supervision - No

Expected Enrolment (subject to change):  20 students 

Percentage of Responsibility: 100%

The above courses are in person at the Kingston, Ontario campus.  The contracts will run from September 1, 2026 to December 31, 2026. 

The fall term session runs from September 8 to December 8, 2026 with exams running from December 10 to December 23, 2026. 

The stipend for these positions will be between $9,500 and $11,500.  Actual salary will be commensurate with years of teaching experience and course weight, as per the Queen’s-QUFA Collective Agreement.

These postings are to fill an existing vacancy within the University.

As part of the application process at Queen’s University, our recruitment system uses Artificial Intelligence (AI), as defined under the Ontario Employment Standards Act, to ask job-related questions and confirm eligibility for hire. All final hiring decisions are made using non-AI related processes.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to declare their COVID-19 vaccination status and provide proof that they were fully vaccinated or had an approved accommodation to engage in in-person University activities. These requirements were suspended effective May 1, 2022, but the University may reinstate them at any point.

The University invites applications from all qualified individuals. Queen's is strongly committed to employment equity, diversity, and inclusion in the workplace and encourages applications from Black, racialized/visible minority and Indigenous people, women, persons with disabilities, and 2SLGBTQ+ persons. 

The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes into account an applicant’s accessibility needs. If you require accommodation during the interview process, please contact mine.office@queensu.ca.

Academic staff at Queen’s University are governed by a Collective Agreement between the University and the Queen’s University Faculty Association (QUFA).

Application Process

In accordance with Canadian immigration requirements, Canadian citizens and permanent residents of Canada will be given priority, including any qualified individuals who have a valid legal work status in Canada. 

Please indicate in your application if you have a valid legal work status in Canada. Applications that do not include this information will be deemed incomplete. Applications from all qualified candidates will be considered in the applicant pool.

Applications should include:

• a statement if you have a valid legal work status in Canada,
• a complete and current curriculum vitae, 
• a statement of teaching experience, 
• the names and contact details of two referees who may be contacted, 
• any other relevant materials the candidate wishes to submit for consideration.

Applicants are encouraged to apply and upload all documents in their application packages electronically as PDFs on the following website: 

APSC 141 - https://apply.smithengineering.queensu.ca/124009

MINE 321 - https://apply.smithengineering.queensu.ca/123999

MINE 459/MINE 851 - https://apply.smithengineering.queensu.ca/123998

MINE 467 - https://apply.smithengineering.queensu.ca/123995

MINE 885 - https://apply.smithengineering.queensu.ca/124000

Applications should arrive no later than 12noon on Tuesday, June 30, 2026.