Course Lecturer - CIVE 302 Probabilistic Systems

McGill Faculty of Medicine and Health Sciences; Montreal (administrative region); On-site; CAD 11,000 - 13,000; Part time

Job summary

McGill University Civil Engineering invites applications to teach Probabilistic Systems (CIVE 302 001) in RPHYS 112, with classes on Tue/Thu mornings. The role requires an M.Eng. in Civil Engineering and an active practice in the field.

A Ph.D. in Civil Engineering with specialization in probability or statistics is an asset, along with membership in a Canadian professional engineering association. Applicants should be eligible for McGill's equity and diversity initiatives, and the deadline to

Qualifications

• M.Eng. in Civil Engineering with at least five years of civil engineering experience.
• Ph.D. in Civil Engineering with specialization in probability/statistics or related probabilistic methods is an asset.
• Active practice in civil engineering and membership in a Canadian professional engineering association.
• Currently practicing in the field and eligible for licensure in Canada.

Responsibilities

• Deliver lectures and manage course content for Probabilistic Systems (CIVE 302 001).
• Assess student work and provide constructive feedback within the academic term.
• Develop and update course materials and assessments in collaboration with the department.
• Support equity and diversity initiatives within the classroom and department.

Skills

Probability theory

Statistical methods

Education

M.Eng. in Civil Engineering

Ph.D. in Civil Engineering

Tools

Professional engineering association

Job description

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: 3Hours: 39Remuneration: $ 11,824.00Hiring Unit:Civil EngineeringCourse Title:Probabilistic SystemsSubject Code:CIVE 302 001Location:RPHYS 112Schedule:Tuesday and Thursday (08:35 am-09:55 am)Deadline to Apply:2026-10-15McGill 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, [e-mail].