Summary
The PHASE Lab at the Department of Mechanical Engineering, Iowa State University, led by Prof. Pan Du, is recruiting 1–2 fully funded PhD students starting Fall 2027. Students will work at the intersection of AI, computational physics, and biomedical engineering, focusing on cutting-edge research in scientific machine learning, digital twins, hybrid neural modeling, and foundational AI for scientific computing.
Fully Funded PhD Positions in Scientific Machine Learning & Computational Physics, Iowa State University, US
Designation
PhD Student (Fully Funded)
Scholarship Details Table
| Position | Number of Openings | Start Date | Location | Funding |
|---|---|---|---|---|
| PhD Student | 1–2 | Fall 2027 | Ames, Iowa, USA | Fully Funded (tuition + stipend + conference support) |
Research Area / Field of Study
- Scientific Machine Learning for Computational Physics
- AI-driven Digital Twins for Biomedical Systems
- Hybrid Neural Modeling for Design, Inverse Problems, Optimization, and Uncertainty Quantification (UQ)
- Foundational AI Methods for Scientific Computing
- Data-driven and Physics-informed PDE Systems
- AI-powered Medical Image Processing and Patient-specific Shape Modeling
- Generative AI Agentic Models for Scientific Computing
Location
Department of Mechanical Engineering, Iowa State University, Ames, Iowa, USA
Eligibility / Qualification
Minimum Requirements:
- BS or MS in Mechanical Engineering, Aerospace Engineering, Biomedical Engineering, Applied Mathematics, Computer Science, Physics, or related fields
- Strong motivation, curiosity, and commitment to research
- Experience or strong interest in computational methods, machine learning, and scientific programming
Preferred Qualifications:
- Background in fluid mechanics, computational physics, or scientific computing
- Experience with medical image processing and biomechanics
- Knowledge of machine learning, deep learning, or scientific AI
- Programming skills in Python, JAX, Julia, PyTorch, C/C++, or related tools
- Familiarity with Bayesian methods, inverse problems, and UQ
Job Description / Scholarship Description
Students will join the PHASE Lab (Physics & Health via AT and Shape Emulation) under Prof. Pan Du. The lab focuses on:
- Developing next-generation AI and geometry modeling methods for computational physics and biomedical applications
- Encouraging collaborations across disciplines, including partnerships with University of Notre Dame and UC Berkeley
- Hands-on, interest-driven mentoring with support for conference travel and networking opportunities
How to Apply
Interested applicants should email the following materials to: panaidhealth@berkeley.edu
- CV / Resume
- Brief summary of research experience, skills, and interests
Last Date to Apply
Applications are reviewed on a rolling basis until the positions are filled. Early application is strongly encouraged.
