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# 3D Deep Learning for Dental Diagnostics

- **Company:** Medical University of Vienna
- **Location:** Wien, Austria
- **Salary:** €39,648.0
- **Contract:** Temporary contract
- **Skills:** Machine Learning, Explainable AI (XAI), Pytorch
- **Published:** October 19, 2026
- **Apply:** https://euraxess.ec.europa.eu/jobs/473468#where-to-apply

## About the Role

If you have worked in 2D computer vision and want to move to 3D data, or have used graph neural networks in other domains, this project lets you apply these skills to clinical data. No prior experience with 3D data or dentistry is required.

 * Master's degree in computer science, data science, mathematics, physics, biomedical engineering or a related field
 * Solid experience with deep learning, Python and PyTorch or a similar framework
 * Preferred, experience with graph neural networks, point clouds or meshes, PyTorch Geometric or explainable AI, Research Field
Computer science

Education Level
Master Degree or equivalent, Master Degree or equivalent

Research Field
Mathematics

Education Level
Master Degree or equivalent

Research Field
Physics

Education Level
Master Degree or equivalent

## Description

* Develop deep learning models for 3D intraoral scans, starting from point cloud models such as PointNet++ and DGCNN
 * Extend these toward graph neural networks that operate directly on the mesh structure of the scans
 * Use explainability methods to show which geometric features drive each prediction
 * Validate the models with dentists and present your results at international conferences