Publisher
source

Iowa State University

Fully Funded PhD Positions in Scientific Machine Learning, Computational Physics, and Biomedical AI at Iowa State University Iowa State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

1–2 fully funded PhD positions starting Fall 2027. Funding is described as fully funded with tuition plus stipend.

Deadline

Feb 7, 2027

Country flag

Country

United States

University

Iowa State University

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Mechanical Engineering
Aerospace Engineering
Mathematics
Computational Science
Computational Physics
Uncertainty Analysis
Digital Twin Technology
Geometric Modeling
Optimisation
Inverse Problem
Physics

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About this position

1–2 fully funded PhD positions are available at Iowa State University in the PHASE Lab (Physics & Health via AI and Shape Emulation), starting Fall 2027.

The lab will be led by Prof. Pan Du in the Department of Mechanical Engineering and focuses on scientific machine learning, computational physics, biomedical AI, AI-driven digital twins, hybrid neural modeling, inverse problems, optimization, and uncertainty quantification (UQ).

Students interested in AI for computational science, geometry modeling, scientific computing, and biomedical systems are encouraged to apply. Relevant backgrounds include Mechanical Engineering, Aerospace Engineering, Biomedical Engineering, Applied Mathematics, Computer Science, Physics, and related fields.

The positions are described as fully funded (tuition plus stipend). The recruitment flyer notes rolling review, and applicants are encouraged to contact the PI in advance of submission.

Minimum requirements include a strong research motivation, a relevant bachelor’s or master’s degree, and interest or experience in computational methods, machine learning, and scientific programming. Preferred experience includes fluid mechanics, computational physics, medical image processing, biomechanics, deep learning, Python/JAX/Julia/PyTorch/C/C++, Bayesian methods, inverse problems, and UQ.

For official application details, candidates should consult the Iowa State University Mechanical Engineering graduate application website. The post also provides a contact email for the PI and a recruitment flyer with more details.

Funding details

1–2 fully funded PhD positions starting Fall 2027. Funding is described as fully funded with tuition plus stipend.

What's required

Applicants should have strong motivation, curiosity, and commitment to research. A B.S. or M.S. in Mechanical Engineering, Aerospace Engineering, Biomedical Engineering, Applied Mathematics, Computer Science, Physics, or a related field is preferred. Experience or strong interest in computational methods, machine learning, and scientific programming is required. Preferred qualifications include background in fluid mechanics, computational physics, or scientific computing; experience with medical image processing and biomechanics; experience with machine learning, deep learning, or scientific AI; programming in Python, JAX, Julia, PyTorch, C/C++, or related tools; and experience with Bayesian methods, inverse problems, and uncertainty quantification.

How to apply

Email the PI with a CV/resume and a brief summary of your research experience, skills, and interests. Also check the Iowa State University Mechanical Engineering graduate application website for official application procedures, dates, and deadlines. Applications are reviewed on a rolling basis until positions are filled.

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Professors

Professor

University Name
Country flag

United States

Research Interests

Aerospace Engineering

Inverse Problem

Computational Science

Computational Physics

Machine Learning