Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Department of Mining and Materials Engineering Faculty of Engineering McGill University Fall 2025 Course Lecturer Position Deadline to Apply: June 15, 2025 MIME 425/525 - Applied Stochastic Orebody Modelling - This is a shared assignment as co-instructor with a McGill Professor to assist with 50% (approx. 19.5 hours) of this course. Overview: Representing uncertainty in orebody models and shortcomings of conventional methods including reserve reporting and Mine planning. Stochastic spatial sequential simulation methods. Joint simulation of multiple correlated elements. Simulation material types. Introduction to geometallurgical modelling. Additional drilling, reserve classification, grade control and mine planning optimization. Risk quantification in life-of-mine production schedules. Course description: https://www.mcgill.ca/study/2021-2022/courses/mime-425 https://www.mcgill.ca/study/2021-2022/courses/mime-525 Teaching Qualification Requirements: Education: PhD in mining preferred; Master's degree may be considered depending on research expertise in the related area Experience: Expertise in random field models and spatial simulation, as well as their application in mining, mining operations and mine planning. Experience in direct sequential simulation and min/max autocorrelation factors with mining applications, as well as multi-point geostatistics. Other qualification requirements: Specialization in geostatistical simulations in mining; theoretical and practical knowledge. Experience with SGEMS and software. Eligibility for professional registration as a member of a Canadian professional association. Salary: $5,739.50 for 50% of the course Course runs from August 27, 2025 to December 3, 2025 Please note that courses will be taught in person. Training and assistance is available through Teaching and Learning Services (TLS). Immigration Stipulation (Obligatory for non-Canadian candidates without permanent residency who will reside in Canada only): In accordance with Canadian and Quebec law, the present offer is conditional upon your obtaining the appropriate work authorization from any or all of the following as applicable: Citizenship & Immigration Canada, Immigration Quebec and Employment & Social Development Canada (ESDC). Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located. McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing. Hiring Unit: Mining and Materials Engineering Course Title: Applied Stochastic Orebody Modelling. Subject Code: MIME 425 001 Location: Adams 126 Schedule: R 08:35 am-11:25 am Deadline to Apply: 2025-06-15 McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca. Located in one of the world’s great multicultural and multilingual cities, McGill University is internationally recognized for its excellence as a leading institution of higher education and research. For nearly 200 years, through the work of dedicated people, McGill has been breaking ground in diverse fields and contributing solutions to some of the world’s most significant issues. McGillians are proud to be part of a community that is both global and local, inspired by challenge and committed to shaping a better future. McGill received a Platinum STARS rating in sustainability, is among Canada’s greenest employers, and is a top Montreal Employer. Grandescunt Aucta Labore. By work, all things increase and grow. Find a sense of purpose. Develop your future. Join us today.
