Fully Funded PhD Positions in Applied Mathematics, Scientific Machine Learning, and Computational Biomedical Research at Rowan University Rowan University in United States

Fully Funded PhD Positions at Rowan University in the Department of Mathematics with the BioComp Group.

The position is for students interested in applied mathematics, scientific machine learning, and computational biomedical research. The group develops mathematically grounded and computationally efficient approaches for multiscale biological systems, with research spanning multiscale modeling of blood flow and red blood cell mechanics, physics-informed neural networks, operator learning, data-driven modeling, cell dynamics, predictive modeling in blood-related diseases, integration of microfluidic experimental data with computational models, and high-performance computing/GPU computing for biomedical applications.

Applicants should have a background in applied mathematics, computational science, statistics, mechanics, computer science, biomedical engineering, or related fields. Preferred preparation includes strong mathematical and programming skills, experience with numerical methods, machine learning or deep learning, and familiarity with tools such as Python, MATLAB, C/C++, LAMMPS, PyTorch, and TensorFlow. Strong written and verbal communication skills in English are also expected.

The positions are described as fully funded, with full tuition and stipend included. The post indicates openings for Fall 2026 / Spring 2027. The advisor, Guansheng Li, is joining Rowan University as an Assistant Professor in the Department of Mathematics.

To apply, interested candidates should send a CV, academic transcripts, a brief statement of research interests, and representative publications or project descriptions if available. Contact is provided via email, and the group website is available for more information.