Funded PhD in Flood Prediction in Ungauged Basins and Probabilistic Hydroclimate Modelling
PhD opportunity in flood prediction in ungauged basins at the University of Saskatchewan, Canada.
The Hydroclimate Extremes and Water Security Lab (HEWSL), led by
Assistant Professor Cuauhtémoc T. Vidrio-Sahagún
in the Department of Civil, Geological, and Environmental Engineering, is recruiting a
funded PhD student
. The project focuses on advancing long-term flood prediction in ungauged basins under uncertainty in a changing Earth.
Research themes:
flood frequency analysis, regional estimation, spatial modelling, climate and hydrological model simulation post-processing, correction and downscaling, nonstationarity, hydroclimate extremes, and water security. The broader lab works on predicting water extremes, hydrology, statistical hydroclimatology, and water resources engineering.
Eligibility highlights:
applicants should have a bachelor’s and master’s degree in Civil, Environmental, or Water Resources Engineering, or a closely related field; a strong academic record (master’s GPA ≥ 80%); demonstrated English proficiency; a background in probabilistic/statistical modelling of hydroclimate extremes; programming skills in MATLAB, Python, or R; and strong written communication and research ability. Experience with flood analysis, modelling, prediction, or climate change impact assessment is considered an asset.
Funding:
the position is explicitly described as funded. No stipend amount is listed in the post.
Application window:
review begins immediately and continues until the position is filled. A later start date of January 2027 may be considered, although the ideal start date is September 2026.
How to apply:
send a single PDF by email to
[email protected]
with the subject line “PhD flood position”. Include a one-page cover letter, CV, unofficial transcripts and copies of degrees, names and contact information for two referees, and a writing sample where you are the first author.
