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University of British Columbia

Just Landed

Fully Funded PhD Position in Global Watershed Hydrologic Function, Hydrology, Data Science and Machine Learning University of British Columbia in Canada

Degree Level

PhD

Field of study

Data Science

Funding

Fully funded PhD position. No stipend amount or specific coverage details are provided in the post.

Country flag

Country

Canada

University

University of British Columbia

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Keywords

Data Science
Environmental Science
Hydrology
Earth Science
Water Resource Management
Wetland Ecology
ML

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About this position

Ali Ameli is recruiting a fully funded PhD student to join his group at the University of British Columbia in Vancouver, Canada, beginning in September 2027.

The doctoral project investigates global watershed hydrologic function: how watersheds collect, store, and release water, and how these functions vary across landscapes and through time. The student will examine global patterns in hydrologic function across forested, mountainous, wetland, agricultural, and urban watersheds.

The research combines large-sample hydrology, data science, and machine learning with conceptual and process hydrology. This interdisciplinary project is suited to research on watershed systems, water resources, environmental change, hydrologic processes, and computational approaches to Earth and environmental science.

The student will join Ali Ameli’s research group at UBC and can explore the group’s publications before applying.

Funding details

Fully funded PhD position. No stipend amount or specific coverage details are provided in the post.

How to apply

Review the attached file for full project details and application instructions. Explore the group's publications before applying.

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