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Gesse R.
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Posted Yesterday
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.
Country
United States
University
Villanova University
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Keywords
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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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Review drafts and confirm requirements with the university.
Professors
Assistant Professor
United States
Research Interests
Fluid Mechanics
Applied Mathematic
Data-driven Modeling
Soft Matter Physics
Programming Language
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Prepare your application
Review drafts and confirm requirements with the university.