Internship jobs in Canada (12,029 jobs)

Explore internship jobs across Canada. Choose a location and read the full job details.

12,029 listings · 1,710 employers Counted Nov 12, 2026. How we count

About these jobs

Employers hiring include S M Software Solutions Inc (795 listings), Interior Health Authority (570 listings), Stevenson Memorial Hospital (457 listings).

Common roles: Registered nurse, Software developer, Warehouse worker.

589 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	420
CAD / year	50,000.00	120
CAD / month	4,117.00	33

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 1% remote, 17% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Internship jobs in Canada

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Added 5 mins ago
A
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A
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AD
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Ottawa, ON · Canada, Ottawa
- Full-time

Community Surface Dynamics Modeling System (CSDMS)

PhD position: Global Watershed Hydrologic Function, University of British Columbia

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, Canada

Internship

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Internship
Apply by: Dec 12, 2026
Posting language: English
Posted: Nov 12, 2026

Original job description

University of British Columbia (UBC) in Vancouver, , Canada

Apply before: 6 December 2026

Position

Posting:

PhD position

Apply Before

6 December 2026

A PhD position is available under the supervision of Dr. Ali Ameli in the Department of Earth, Ocean and Atmospheric Sciences at the University of British Columbia (UBC), Vancouver, Canada.

Project: This funded project studies global watershed hydrologic function: how watersheds collect, store and release water across many types of landscape, from forested and mountainous to wetland, agricultural and urban. The student will identify global patterns in hydrologic function and how it varies over time, from event to event, season to season and year to year. The work combines large-sample hydrology, data science, machine learning and process-informed deep learning with conceptual and process-based hydrologic models.

Please review our publications to get to know our work and the type of research we do before applying: https://hgs4wm.eoas.ubc.ca/publications

Qualifications: A master's degree in hydrology, water resources or a related discipline, with a strong background in data science and machine learning and in conceptual and process hydrology.

Start date: September 2027

How to apply: Email the following to Hgs.wm.contact@gmail.com, with the subject line "PhD Application: Global Watershed Hydrologic Function":

A one-page cover letter explaining how your expertise relates to global watershed hydrologic function
CV
Transcripts from bachelor's and master's degrees

The deadline is December 6, 2026. Applications will be reviewed and interviews will begin as applications arrive; only candidates selected for an interview will be contacted. We encourage applications from members of groups that have been underrepresented or marginalized.

Please feel free to share this opportunity with potential applicants.

Ali Ameli

Associate Professor, Department of Earth, Ocean and Atmospheric Sciences

The University of British Columbia, Vancouver, Canada

Of interest for:

Terrestrial Working Group
Hydrology Focus Research Group

Apply on LinkedIn About employer

More about this job

Responsibilities

Identify global patterns in watershed hydrologic function across diverse landscapes and examine how these patterns vary between events, seasons, and years. Combine large-sample hydrology, data science, machine learning, process-informed deep learning, and conceptual and process-based hydrologic models.

Requirements

A master's degree in hydrology, water resources, or a related discipline is required. Applicants should have a strong background in data science, machine learning, and conceptual and process hydrology.

Skills

Hydrology
Water Resources
Data Science
Machine Learning
Large-Sample Hydrology
Deep Learning
Conceptual Hydrologic Modeling
Process-Based Hydrologic Modeling
Watershed Hydrologic Function

Visa sponsorship

Not detected in the job text

Hiring contact

Ali Ameli

Keywords

Global Watershed Hydrologic Function
Hydrology
Water Resources
Watersheds
Large-Sample Hydrology
Data Science
Machine Learning
Process-Informed Deep Learning
Conceptual Hydrologic Models
Process-Based Hydrologic Models
Hydrologic Function
Water Collection
Water Storage
Water Release
Forested Landscapes
Mountainous Landscapes
Wetlands
Agricultural Landscapes
Urban Landscapes
Temporal Variability
Earth, Ocean and Atmospheric Sciences

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Work requirements

Internship jobs in Canada