PhD Position: Large-Scale Hydrology: The University of Waterloo’s Department of Earth and Environmental Science is seeking a PhD candidate to work on developing and applying computational approaches for large-scale hydrological challenges, including modeling, flood risk assessment, and climate change impacts on water systems.
PhD Position: Large-Scale Hydrology with Computational Focus
Designation
PhD Student
Key Details
| Parameter | Details |
|---|---|
| Position | PhD Student |
| Location | University of Waterloo, Ontario, Canada |
| Duration | Full-time |
| Supervisor | Dr. Julie Mai (under group led by Nandita Basu) |
Research Area
- Large-Scale Hydrology
- Computational Methods
- Machine Learning in Hydrology
- Water Resource Management
- Hydrological Modeling
Location
Department of Earth and Environmental Science
University of Waterloo
Waterloo, ON, Canada
(In-person position)
Eligibility/Qualifications
Required:
- Master’s degree in computer science, applied mathematics, environmental engineering, or related field
- Strong computational methods background
- Programming skills (Python highly preferred)
- Software development and version control knowledge
- Excellent English communication skills
Preferred:
- Hydrological concepts knowledge
- Large-scale modeling experience
- Parallel computing expertise
- Cloud computing platform experience
Description
The candidate will:
- Develop computational methods for large-scale hydrological analysis
- Work with machine learning and data assimilation techniques
- Contribute to HydroHub.org development
- Handle large datasets from various sources
- Collaborate with multidisciplinary teams
- Publish research in academic journals
How to Apply
Submit a single PDF to Dr. Julie Mai including:
- CV with research experience
- Detailed cover letter
- Academic transcripts
Include “PhD position in Large-Scale Hydrology” in email subject line
Last Date to Apply
Position remains open until filled (applications reviewed on rolling basis)
Note: Only selected candidates will be contacted for interviews. The program encourages applications from candidates with diverse backgrounds and perspectives.
