McGill University
Mining
CourseLecturer–MIME425/525–AppliedStochasticOrebodyModelling–Fall2026
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Course Lecturer – MIME 425/525 – Applied Stochastic Orebody Modelling – Fall 2026 at McGill University. Skills: Stochastic orebody modelling, Spatial simulation, Geostatistics. Assist with 50% of course. Represent uncertainty in orebody models”
Industry & Context.
Work authorization required
What They're Looking For.
Must Have
PhD in mining, Expertise in random field models, Expertise in spatial simulation, Application in mining, Application in mining operations, Application in mine planning, Experience in direct sequential simulation, Experience with min/max autocorrelation factors, Experience with multi-point geostatistics, Theoretical geostatistical simulations, Practical geostatistical simulations, Eligibility for professional registration
Nice to Have
Master's degree considered, Research expertise in related area
What You'll Do.
Assist with 50% of course
Represent uncertainty in orebody models
Address shortcomings of conventional methods
Teach stochastic spatial sequential simulation methods
Teach joint simulation of multiple correlated elements
Teach simulation material types
Introduce geometallurgical modelling
Discuss additional drilling
Discuss reserve classification
Discuss grade control
Discuss mine planning optimization
Discuss risk quantification in production schedules
How You'll Work.
Team & Collaboration
Shared assignment as co-instructor
Communication Scope
English communication
Full Job Description
**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) 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 2026 Course Lecturer Position** **Deadline to Apply: June 15, 2026** **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: **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
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