Publisher
source

Pennsylvania State University

Top university

Funded PhD in Water Governance, Infrastructure, and Risk at Penn State Pennsylvania State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD position; funding is explicitly stated, but no stipend amount, tuition coverage details, or duration are provided.

Deadline

Expired

Country flag

Country

United States

University

Pennsylvania State University

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Keywords

Computer Science
Environmental Science
Political Science
Civil Engineering
Climate Resilience
Water Governance
Infrastructure Resilience

About this position

Funded PhD opportunity at Pennsylvania State University in the Department of Civil and Environmental Engineering.

The project focuses on water governance, infrastructure resilience, risk, climate adaptation, science-policy interfaces, and AI for social good. The research is described as mixed methods, combining qualitative, quantitative, and computational approaches, with a strong emphasis on policy relevance and real-world impact.

Supervisor: Christine Kirchhoff ([email protected]).

Ideal candidate profile: applicants with experience in mixed methods research, two or more strong publications, and a clear interest in policy-relevant research. Experience using LLMs or AI tools for text extraction and structuring is a plus.

Funding: the post states that this is a funded PhD position. No stipend amount, tuition details, or other financial terms are specified.

Start date: Fall 2026 or Spring 2027, with the post encouraging students to apply as soon as possible.

How to apply: contact the supervisor directly to discuss research fit and application details.

This opportunity is especially relevant for students interested in civil engineering, environmental science, computer science, and policy-oriented research at the intersection of infrastructure, water systems, and AI.

Funding details

Funded PhD position; funding is explicitly stated, but no stipend amount, tuition coverage details, or duration are provided.

What's required

Applicants should have a strong background aligned with civil and environmental engineering or related fields, experience with mixed methods research, two or more strong publications, and interest in policy-relevant research. Experience using LLMs or AI tools for text extraction and structuring is a plus.

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Professors

Professor

University Name
Country flag

United States

Research Interests

Hydrology

Environmental Economics

Pandemic Preparedness

Environmental Science

Water Resource Management