Muhammad Arif
4 days ago
Fully Funded PhD in Physics-Informed AI, OpenFOAM, and Biomedical CFD Mahidol University
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD opportunity.
Country
-
University
Mahindra University

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About this position
Mahidol University is advertising a fully funded PhD opportunity in collaboration with Macquarie University on Physics-Informed AI & OpenFOAM Modelling for Therapeutic Particle Transport in Vascular Systems.
This project sits at the intersection of Biomedical CFD, OpenFOAM, Lagrangian/DPM particle tracking, drug and nanoparticle transport, and physics-informed AI/ML. The research also highlights CFD optimization and computational modelling of vascular flows, making it a strong fit for candidates interested in numerical simulation, transport phenomena, and data-driven modelling for biomedical applications.
The post is from Dr. Muhammad Arif, Lecturer in the Department of Mechanical Engineering, Faculty of Engineering, Mahidol University, and part of the CFD & Energy Research Group. The opportunity is aimed at a motivated PhD candidate with strong OpenFOAM and CFD experience, particularly DPM/Lagrangian particle tracking. Additional experience in AI/ML, Python, C++, optimization, or biomedical flows is considered highly desirable.
Funding is described as fully funded. No deadline is stated in the post.
To apply, interested candidates should send a CV and a brief research statement to Dr. Muhammad Arif.
Funding details
Fully funded PhD opportunity.
What's required
Applicants should have strong experience in OpenFOAM and CFD, especially DPM/Lagrangian particle tracking. Experience with AI/ML, Python, C++, optimization, or biomedical flows is highly desirable. The post asks for a motivated PhD candidate.
How to apply
Send your CV and a brief research statement to Dr. Muhammad Arif by email/message as indicated in the post.
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