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Gesse R.

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Fully Funded PhD in Computational Soft Matter, Particle and Macromolecule Modeling Villanova University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position; the post does not specify the stipend, tuition coverage, or other funding details.

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Country

United States

University

Villanova University

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Keywords

Computer Science
Mathematics
Fluid Mechanics
Soft Matter Physics
Data-driven Modeling
Programming Language
Physics
Applied Mathematic

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About this position

Gesse R., an Assistant Professor at Villanova University, is seeking a PhD student to join a research group working in computational soft matter. The fully funded position is scheduled to start in Fall 2027.

The group studies the modeling and simulation of particles—including both active and passive particles—and macromolecules in fluids. The research involves computational approaches to soft matter, fluid mechanics, colloidal physics, numerical methods, and applied mathematics, with potential use of data-driven modeling and physics-informed machine learning.

The student would work in a research environment focused on developing and applying computational models and simulations to understand the behavior of complex particles and macromolecular systems in fluid environments. Current research directions are available through the group’s research website.

Funding details

Fully funded PhD position; the post does not specify the stipend, tuition coverage, or other funding details.

What's required

Applicants should be interested in computational soft matter and ideally have a background in at least two of the following areas: fluid mechanics; numerical methods and programming; soft matter and colloidal physics; applied mathematics; or data-driven modeling and physics-informed machine learning. Applicants should email a CV and transcripts.

How to apply

Email Gesse R. at [email protected] with your CV and transcripts. Applicants may consult the research group website for current research directions.

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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Fluid Mechanics

Applied Mathematic

Data-driven Modeling

Soft Matter Physics

Programming Language