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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

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Country

United States

University

University of Texas at Austin

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Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Materials Science
Medical Imaging
Mathematics
Computational Physics
Computational Mechanics
Inverse Problem
Physics
Applied Mathematic

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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.

More information can be found here

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