A PhD Opportunity in Hydrologic Modeling and Prediction
We are seeking a highly motivated PhD student to join our research group starting in September 2025. The successful candidate will have the opportunity to work on research topics focused on hydrologic modeling and prediction.
Desired Qualifications: Students with the following experience and skills are particularly encouraged to apply:
- Hydrologic modeling/forecasting
- Floods/droughts analysis
- Climate studies
- Advanced skills in mathematics and programming
- Proficiency in handling large datasets and high-performance computing
- Experience with data-driven or machine learning techniques for hydrologic applications
Application Process: If you are interested, please send the following documents to Dr. Liu with “PhD Application - [Your Name]” in the subject line:
- One-page cover letter explaining your interests and experience in computational hydrology
- Curriculum vitae
- Undergraduate and graduate transcripts
Important Notes:
- Please review our graduate program admission requirements before inquiring.
- International applicants should ensure they meet the required English proficiency standards before applying.
- We appreciate all applications; however, only candidates selected for interviews will be contacted.
Other Funding Opportunities
Graduate students
We encourage graduate students exploring financial support opportunities from:
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- University scholarships and fellowships
- International student funding
- Postdoctoral fellow funding
Additionally, we welcome China Scholarship Council (CSC) funded PhD students, visiting PhD students, postdoctoral fellows, and academic professors. More information can be found here.
Undergraduate Students
We welcome undergraduates to explore research opportunities and contribute to our projects. Available initiatives include:
- Dean’s Research Awards
- URI Undergraduate Researcher Stipend
- NSERC Undergraduate Student Research Awards
International undergraduate students can consider: