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University of Innsbruck

PhD Position DC5: Conditional Diffusion Models for Image Reconstruction and Analysis in Mathematics/Radiology University of Innsbruck in Austria

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Dec 10, 2026

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Country

Austria

University

University of Innsbruck

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Keywords

Computer Science
Radiology
Medical Imaging
Mathematics
Probability Theory
Stochastic Processes
Medical Science
Linear Algebra
Image Reconstruction
Generative Modeling
Inverse Problem
Cardiac Magnetic Resonance
ML

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About this position

This PhD project, DC5, is based at the University of Innsbruck and sits at the intersection of mathematics and radiology. The project focuses on conditional diffusion models for image reconstruction, resolution enhancement, data completion, and segmentation in medical imaging.

The central research challenge is to develop and mathematically analyse diffusion-based methods that can make use of conditional information such as clinical metadata, while remaining robust across different imaging protocols and patient populations. The motivating application is ischemic and non-ischemic myocardial scar analysis in cardiac MRI.

The project is embedded in an established collaboration between the Department of Mathematics at the University of Innsbruck and radiology partners in Innsbruck, offering an interdisciplinary environment connecting theoretical mathematics with clinical imaging questions.

Supervision is provided by Markus Haltmeier from the Department of Mathematics, University of Innsbruck, and Agnes Mayr from the Department of Radiology, Medical University of Innsbruck.

The position is part of a structured doctoral environment with training across both universities and includes secondments at international academic and non-academic partner institutions.

Funding details

Available

What's required

A Master’s degree in mathematics, or in physics or computer science with a strong mathematical focus, is ideally required. Applicants should have solid foundations in analysis, linear algebra and probability theory/stochastics, programming skills in Python, and interest in inverse problems, generative models and machine learning. A Master’s (or equivalent) degree must be completed before employment starts, with no doctoral degree yet. The MSCA mobility rule applies: applicants must not have lived, worked or studied in Austria for more than 12 months in the 36 months before 10 December 2026. Purely application-oriented profiles without solid, documented mathematical training are not a good fit.

How to apply

Apply online at the IGNIDTE application portal and select DC5 as your preferred doctoral project. Include a 2-page research proposal for the project. Shortlisted candidates will be interviewed online between 18 and 31 January 2027.

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