Open Positions

 

PhD student @ IGNDITE Project

Topic: Patient-specific liver deformation modelling with AI – Planning, Interpretability, Explainability
Supervisors: M. Harders, R. Bale

Predicting patient-specific liver deformations for radiofrequency ablation procedures is essential for accurate treatment planning and intraoperative guidance.
In this project we address the challenges by developing a novel AI-driven framework that combines the best approaches to accurately model patient-specific liver deformations.
Moreover, to overcome deep learning “black boxes” the PhD should also explore new approaches towards quantitative assessment of such solutions, such as failure mode analysis, model architecture analysis and reduction, as well as continual learning aspects.

Research field: Computer Science/Radiology
Recommended background: Computer science, biomedical engineering, applied mathematics or a related field; experience or interest in AI, simulation, deep learning, medical image analysis and explainable AI. 

Find more information on the requirements and benefits, as well as the link to apply, on the project website or in the job ad

Application Deadline is on 10.12.2026!

Further PhD Students

We are generally looking for motivated, outstanding PhD students. If you are interested in joining our group, please send your CV to <matthias.harders@uibk.ac.at>.