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Marcio Giacomoni

2 months ago

PhD in Civil Engineering on Multiphase Flow Modeling and Control for Drinking Water Systems The University of Texas at San Antonio in United States

Degree Level

PhD

Field of study

Computer Science

Funding

NSF-funded project; funding is implied for the PhD position, but no stipend, tuition, or other financial details are stated.

Country flag

Country

United States

University

University of Texas at San Antonio

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Keywords

Computer Science
Environmental Science
Mechanical Engineering
Mathematics
Civil Engineering
Computational Mechanics
Hydraulic Engineering
Water Supply
ML

About this position

Marcio Giacomoni at The University of Texas at San Antonio is recruiting a PhD student for an NSF-funded project on safe and efficient restoration of drinking water systems through multiphase flow modeling and control.

The research focuses on the refilling of transmission mains and water distribution networks, with an emphasis on modeling and monitoring multiphase air-water flow, air compression, air release, and pressure dynamics. The project aims to develop computationally efficient models that capture the dominant physical mechanisms without relying on expensive full multiphase simulations. A key methodological component is the use of physics-informed neural differential equations combined with conservation-law models and sensor data.

This PhD opportunity is in the Civil Engineering program at UTSA and is expected to begin in Spring 2027. The project is collaborative, involving Jose Vasconcellos (Auburn), Ahmad Taha (Vanderbilt), and Thomas Beckers (Vanderbilt).

Preferred qualifications include strong computational and programming skills, a background in computational fluid mechanics or hydraulics, experience collecting data in water distribution networks, and interest in water resources systems analysis.

To apply, send a cover letter describing your qualifications and interests together with a curriculum vitae to Dr. Marcio Giacomoni at [email protected]. A project information link is also provided in the post.

Funding details

NSF-funded project; funding is implied for the PhD position, but no stipend, tuition, or other financial details are stated.

What's required

Applicants should have strong computational and programming skills, a background in computational fluid mechanics or hydraulics, experience in data collection in water distribution networks, and an interest in water resources systems analysis. The selected applicant is expected to join the PhD Program in Civil Engineering at UTSA in Spring 2027.

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United States

Research Interests

Hydrology

Epidemiology

Hydraulic Engineering

Pandemic Preparedness

Flood Risk