Publisher
source

Matthias Harders

Just Landed

New Today

PhD position DC2 - Computer Science, Interventional Radiology University of Innsbruck in Austria

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Dec 10, 2026

Country flag

Country

Austria

University

University of Innsbruck

Apply for this position

Keywords

Computer Science
Biomedical Engineering
Deep Learning
Mathematics
Artificial Intelligence
Interventional Radiology
Medical Science
Explainable Ai
Continual Learning

Suggested positions

Publisher
source

Medical University of Vienna

Country flag

Austria

PhD position in 3D Deep Learning for Dental Diagnostics at the Medical University of Vienna, based in the University Clinic of Dentistry in Vienna, Austria. This project is part of the FFG BRIDGE project ARTIS and focuses on using routine intraoral scans to derive clinically useful information such as dental status, gingival health, and oral hygiene quality. The research combines 3D deep learning, point cloud learning, graph neural networks, mesh-based representation learning, and explainable AI...

Computer Science
Biomedical Engineering
Medical Imaging
+6 more

2 weeks ago

Publisher
source

Medical University of Vienna

Country flag

Austria

Fully funded PhD opportunity at the Medical University of Vienna in Austria . The project is in Artificial Intelligence , 3D Deep Learning , Computer Vision , Graph Neural Networks (GNNs) , and Medical Imaging , with mention of explainable AI for clinical decision support. This is a strong fit for candidates interested in machine learning for healthcare, image analysis, and data-driven medical research. The position is advertised as fully funded and includes a gross monthly salary of €2,832 with...

Computer Science
Biomedical Engineering
Medical Imaging
+4 more

1 week ago

Publisher
source

The Hong Kong Polytechnic University

Country flag

Hong Kong

Hong Kong Polytechnic University’s Department of Health Technology and Informatics is recruiting for a project on “Artificial intelligence assisted clinical support system for precision radiation therapy.” The opening includes one Postdoctoral Fellow position (12 months) and two shorter-term Research Associate / Research Assistant posts (6 months each). The work is centered on AI for healthcare, with strong relevance to computer science , biomedical engineering , medical physics , deep learning,...

Computer Science
Biomedical Engineering
Deep Learning
+4 more

1 month ago

Publisher
source

Medical University of Vienna

Country flag

Austria

PhD opportunity at the Medical University of Vienna in Vienna, Austria focused on 3D Deep Learning , Graph Neural Networks , Computer Vision , Point Cloud and Mesh-based Learning , and Explainable AI for dental diagnostics and medical healthcare applications . The position is part of the ARTIS project and is hosted by the Al-Dent Vienna Lab . The post highlights a collaborative environment with opportunities to work with ML researchers, clinicians, and industry partners, publish at leading inter...

Computer Science
Biomedical Engineering
Computer Vision
+5 more

1 week ago

Publisher
source

Medical University of Vienna

Country flag

Austria

The Medical University of Vienna is recruiting PhD researchers in Vienna, Austria, to develop artificial intelligence and machine learning methods for biomedical research. The opportunity focuses on 3D deep learning, graph neural networks, computer vision, image reconstruction, generalisation, physiological modelling, and the integration of complex biological data. Potential projects include AI-powered 3D whole-body metabolic imaging, machine learning algorithms for arthritis imaging, model-base...

Computer Science
Biomedical Engineering
Medical Imaging
+6 more

6 days ago

About this position

This PhD project focuses on patient-specific liver deformation modelling for radio-frequency liver tumour ablation, where accurate prediction of organ movement is essential for treatment planning and intraoperative guidance. The project develops an AI-driven framework that combines strong modelling approaches to capture liver deformation at the patient level.

A major part of the research is tackling the interpretability problem of deep learning systems. The PhD candidate will investigate methods for quantitative assessment of AI solutions, including failure mode analysis, model architecture analysis and reduction, and continual learning aspects. The work sits at the intersection of computer science and interventional radiology, with a clear translational medical application.

The project is hosted at the University of Innsbruck and involves supervision from Matthias Harders in the Department of Computer Science and Reto Bale in the Department of Radiology at the Medical University Innsbruck. The position is part of an interdisciplinary doctoral environment with structured training across both universities and secondments at international partner institutions.

The research environment combines AI, biomechanical simulation, and clinical imaging in a collaborative setting aimed at developing methods that are both technically strong and medically relevant.

Funding details

Available

What's required

Applicants should hold a Master’s degree or equivalent, with the final certificate available before employment starts, and must not already have a doctoral degree. The call applies the MSCA mobility rule: candidates must not have lived, worked, or studied in Austria for more than 12 months in the 36 months before 10 December 2026. Preferred backgrounds include Computer Science, Data Science/AI, Mathematics, or similar fields, with solid foundations in programming, biomechanical simulation and/or deep learning, strong analytic and mathematical skills, and interest in clinical applications and recent AI models.

How to apply

Apply online via the programme application portal. Select DC2 as your preferred doctoral project and upload a 2-page research proposal for it. Shortlisted candidates will be interviewed online in the second half of January 2027.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Professor at University of Innsbruck

University Name
Country flag

Austria

Research Interests

Artificial Intelligence

Mathematics

Biomedical Engineering

Continual Learning

Deep Learning