• FULLY FUNDED PHD • USA
PhD in Urban Flood Modeling and Scientific Machine Learning at Stony Brook University
The Department of Civil Engineering at Stony Brook University offers a PhD program.
The student will focus on computational urban flood modeling, with the opportunity to integrate hydrologic and hydrodynamic modeling, geospatial data, and scientific machine learning.
This is not a general scholarship program but a direct research position with a professor. Interested applicants should first email the supervisor, so a strong, well-prepared message is important.
Important Application Notice
Applications for this position begin with an email to the supervisor. Please follow the exact subject line and attach all requested documents. Always confirm formal admission steps and deadlines on the official Stony Brook University graduate admissions pages.
PhD Position in Urban Flood Modeling Overview
A PhD opportunity in Urban Flood Modeling and Scientific Machine Learning offers a fully funded doctoral position focused on flood prediction and water-related systems, combining physics-based modeling with data-driven methods.
| Position Information | |
|---|---|
| Country | United States (New York) |
| University | Stony Brook University |
| Department | Civil Engineering |
| Degree Level | PhD |
| Number of Positions | One fully funded PhD student |
| Funding | Tuition support, stipend, and health insurance |
| Start Date | Spring 2027 or Fall 2027 |
| How to Apply | Email the supervisor. |
Research Areas and Project Focus
The research group works on computational urban flood modeling. The PhD student will have opportunities to explore how hydrologic and hydrodynamic models can be integrated with geospatial data and scientific machine learning. Research areas broadly include:
- Urban flooding and hydrology.
- Hydrologic and hydrodynamic modeling.
- Urban drainage and inundation modeling.
- Computational and data-driven methods for flood prediction.
- Scientific machine learning for water-related systems.
Who can apply?
Applicants with academic or research training in hydrology, hydraulics, water resources engineering, civil or environmental engineering, or a closely related field are especially encouraged to apply for a PhD in the Urban Flood Modeling and Scientific Machine Learning program.
Especially Valuable Experience
- Flood or urban drainage modeling.
- Hydrodynamic or numerical modeling.
- Scientific computing and programming.
- GIS and geospatial data analysis.
Is Machine Learning Experience Required?
No. Experience with machine learning or deep learning is a plus but is not required. Applicants with a strong foundation in flood modeling who are interested in expanding into scientific machine learning are especially encouraged to apply.
English Proficiency
English proficiency scores should be included if applicable. Please refer to the official Stony Brook University graduate admissions requirements for accepted tests and minimum scores.
Funding and Benefits
This program is a fully funded PhD scholarship opportunity. Students selected for the program receive full financial support for the doctoral program.
FULL FINANCIAL SUPPORT
Tuition + Stipend + Health Insurance
Provided for the fully funded PhD student
- Tuition support: Tuition is covered for this program.
- Stipend: A monthly stipend will be provided to bear the living expenses.
- Health insurance: Health insurance is also covered with this scholarship.
Documents Requirement
Please email this document if you would like to apply for the PhD position in Urban Flood Modeling and Scientific Machine Learning at Stony Brook University. Throw in this:
- Updated academic CV.
- Educational documents like academic transcripts.
- A brief description of your research experience and interests related to the field of urban flood modeling and scientific machine learning.
- Language proficiency scores, if applicable.
Additional documents (if applicable)
- If a student has relevant publications.
- Research samples.
- Code repositories, such as GitHub links, etc.
How to Apply for the PhD Position at Stony Brook
Students should follow these steps carefully to apply for a PhD in Urban Flood Modeling and Scientific Machine Learning at Stony Brook University.
Step 1: Check Your Fit
Review the research areas and see if your background matches hydrology, hydraulics, water resources, or civil/environmental engineering fields.
Step 2: Prepare Documents
Prepare your academic CV, educational documents, language proficiency scores if applicable, and any relevant publications, research samples, or code repositories.
Step 3: Write down a short research summary.
Write down your previous research experience and interests briefly, showing how they connect to urban flood modeling and the scientific machine learning field.
Step 4: Email the Supervisor
Please send all your documents that you prepared to te.pei@stonybrook.edu.
Step 5: Use the Same Subject Line
PhD Application – Urban Flood Modeling – [Your Name]
Step 6: Follow Official Admission Steps
If the professor invites you for the interview or asks you to proceed further, complete the formal application through Stony Brook University’s graduate admissions system before its deadline.
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You can also explore the Eiffel Scholarship France 2027 guide for postgraduate funding in Europe.
Contact and Official Websites
Use the supervisor’s email to apply for this position, and use the official university website to verify admission requirements and deadlines.
Email the Supervisor
Subject line: PhD Application – Urban Flood Modeling – [Your Name]
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