Jan Niklas Fuhg
Top university
1 week ago
PhD positions in computational multiphysics modeling and inverse modeling for medical imaging at UT Austin University of Texas at Austin in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Dec 1, 2026
Country
United States
University
University of Texas at Austin

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About this position
Jan Niklas Fuhg, Assistant Professor at the University of Texas at Austin, is looking for two PhD students to join his group in Fall 2027.
The research directions highlighted are: computational multiphysics modeling, focused on developing new computational methods for problems where multiple physical processes interact; and inverse modeling for medical imaging with differentiable PDE solvers, combining differentiable physics-based simulations, inverse methods, and machine learning to extract mechanical and physical information from imaging data.
This opportunity is well suited to students interested in computational mechanics, applied mathematics, scientific machine learning, inverse problems, and medical imaging. The post emphasizes work at the intersection of mechanics, numerics, and machine learning.
Applicants should send a short email with a CV and a few sentences about research interests to [email protected]. The official application deadline through UT is December 1, 2026.
No funding details were stated in the post.
Funding details
Available
What's required
Applicants should be interested in computational mechanics, applied mathematics, or medical imaging, with motivation to work at the intersection of mechanics, numerics, and machine learning. The post asks interested candidates to send a CV and a few sentences about their research interests.
How to apply
Email Jan Niklas Fuhg with your CV and a short statement of research interests. Submit through the official UT application process by December 1, 2026.
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