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Course Lecturer – Applied Stochastic Orebody Modelling (Fall 2026)

mcgill · Adams Building

New
🇬🇧 English
Random field models Spatial simulation Direct sequential simulation Min/max autocorrelation factors Multi-point geostatistics

Job description

About the role

We are seeking a Course Lecturer to co‑teach MIME 425/525 – Applied Stochastic Orebody Modelling for the Fall 2026 term. The role involves sharing instructional duties with a senior professor, delivering approximately 19.5 hours of teaching and related activities.

Key responsibilities

  • Deliver lectures and tutorials on stochastic orebody modelling, geostatistical simulation, and risk quantification.
  • Assist in developing course materials, assignments, and assessments.
  • Guide students through practical applications using SGEMS and related software.
  • Provide support for drilling, reserve classification, grade control, and mine‑planning optimisation exercises.
  • Collaborate with the lead professor and Teaching and Learning Services to ensure high‑quality in‑person instruction.

Required profile

  • PhD in Mining Engineering or a related field (Master’s may be considered with relevant research expertise).
  • Demonstrated expertise in random field models, spatial simulation, and their application to mining operations.
  • Eligibility for professional registration with a Canadian engineering association.
  • Ability to work on‑site at McGill University in Montreal, Quebec.

Required skills

  • Random field models
  • Spatial simulation
  • Direct sequential simulation
  • Min/max autocorrelation factors
  • Multi‑point geostatistics
  • SGEMS software

What we offer

  • Compensation of $5,912 for the 50 % teaching load.
  • Access to Teaching and Learning Services for instructional support.
  • Opportunity to contribute to a specialized graduate‑level mining engineering course.

Questions fréquentes

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Source : ats:workday

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mcgill

Adams Building