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Course Lecturer - CIVE 302 Probabilistic Systems

McGill University
🇨🇦 Canada
1 day ago
  • Equity

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).

Teaching Qualification Requirements:

  • Minimum Qualification: M.Eng. in Civil Engineering with a minimum of 5 years of experience in the civil engineering field.
  • Ph.D. in Civil Engineering with specialization or demonstrated expertise in probability and statistics, reliability analysis, risk analysis, stochastic modelling, or other probabilistic methods applied to civil engineering considered an asset.
  • Research experience and/or demonstrated professional experience in probability theory and application to civil engineering design.
  • Currently and actively practicing in the field of Civil Engineering.
  •  Member of a Canadian professional engineering association.

Deadline to apply: October 15, 2026 @ 11:59 pm (the posting will expire at midnight)


Course Credits: 3

Hours: 39

Remuneration: $ 11,824.00

Hiring Unit:

Civil Engineering

Course Title:

Probabilistic Systems

Subject Code:

CIVE 302 001

Location:

RPHYS 112

Schedule:

Tuesday and Thursday (08:35 am-09:55 am)

Deadline to Apply:

2026-10-15

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.

Course Lecturer - CIVE 302 Probabilistic Systems · McGill University

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