Job Information
- Organisation/Company: Medical University of Vienna
- Department: University Clinic of Dentistry
- Research Field: Computer science; Medical sciences » Medicine
- Researcher Profile: First Stage Researcher (R1)
- Positions: PhD Positions
- Application Deadline: 15 Jan 2027 - 00:00 (Europe/Vienna)
- Country: Austria
- Type of Contract: Temporary
- Job Status: Part-time
- Hours Per Week: 30
- Offer Starting Date: 1 Jan 2027
- Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Offer Description
About the project
Intraoral scanners capture high-resolution 3D surface models of teeth and gingiva at almost every dental visit, yet their diagnostic content remains largely unused. In the FFG BRIDGE project ARTIS, we develop deep learning methods that derive dental status, gingival health and oral hygiene quality from these routine scans. Models are trained on scans from the University Clinic of Dentistry Vienna and validated in a prospective patient cohort, together with two industry partners from dental software.
What you will do
- 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
Who we are looking for
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
What we offer
- PhD position at the Medical University of Vienna, 30 hours per week, 36 months
- Salary according to the collective agreement for Austrian universities (B1), currently EUR 2,832 gross per month, paid 14 times per year
- A group of eight PhD students and a postdoc at the interface of machine learning and dentistry, based inside the dental clinic
- Access to the MedUni Vienna high-performance computing cluster and travel funding for international conferences
How to apply
Send your CV, transcripts and a one-page motivation letter as a single PDF to benedikt.sagl@meduniwien.ac.at. Review of applications starts on November 23, 2026, and the position remains open until filled. Full details at https://aidentvienna.org/positions/artis-phd/
MedUni Vienna is committed to diversity, inclusion and equal opportunity and explicitly encourages qualified women to apply.
Requirements
- Research Field: Computer science — Education Level: Master Degree or equivalent
- Research Field: Engineering » Biomedical engineering — Education Level: Master Degree or equivalent
- Research Field: Mathematics — Education Level: Master Degree or equivalent
- Research Field: Physics — Education Level: Master Degree or equivalent
Where to apply
E-mail: benedikt.sagl@meduniwien.ac.at
Work Location(s)
- Number of offers available: 1
- Company/Institute: University Clinic of Denistry, Medical University of Vienna
- Country: Austria
- City: Vienna
- Postal Code: 1090
- Street: Sensengasse 2a
Contact
- City: Vienna
- Website: https://aidentvienna.org/
- Street: Sensengasse 2a
