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Cuauhtémoc T. Vidrio-Sahagún

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Funded PhD in Agricultural Engineering and Hydrology: Long-Term Flood Prediction in Ungauged Basins University of Saskatchewan in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Canada

University

University of Saskatchewan

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Keywords

Computer Science
Environmental Science
Agriculture
Mathematics
Hydrology
Agricultural Engineering
Civil Engineering
Probabilistic Modeling
Hydraulic Engineering

About this position

Funded Ph.D. opportunity at the University of Saskatchewan in agricultural engineering and hydrology.

Prof. Cuauhtémoc T. Vidrio-Sahagún is recruiting a Ph.D. student starting in September 2026 to work on long-term flood prediction in ungauged basins using probabilistic modeling. This project sits at the intersection of agricultural engineering, water engineering, hydrology, environmental science, and quantitative modeling.

Ideal applicants should have an M.S. degree, a GPA of 80% or higher, and programming/modeling experience in Python, R, or MATLAB. The post specifically notes that the opportunity is a strong fit for graduates in agricultural engineering and water engineering.

Funding is described as a funded Ph.D. position. No deadline is stated in the post, so interested candidates should apply as soon as possible.

To apply, send a CV, cover letter, transcripts, references, and a writing sample by email to [email protected].

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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