Publisher
source

Medical University of Vienna

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PhD Opportunity in 3D Deep Learning, Graph Neural Networks and Computer Vision for Dental Diagnostics Medical University of Vienna in Austria

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Nov 23, 2026

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Country

Austria

University

Medical University of Vienna

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Keywords

Computer Science
Biomedical Engineering
Computer Vision
Medical Diagnostics
Medical Science
Explainable Ai
Point Cloud
ML

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About this position

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 international conferences, and use high-performance computing resources.

Eligibility highlights: a strong machine learning foundation is required. Prior experience in dental imaging is not required. The post emphasizes curiosity, motivation to learn, and interest in ambitious research problems at the intersection of AI and healthcare.

Location: Vienna, Austria. Expected start: January 2027 (flexible). Application review begins: 2026-11-23 and the position is open until filled.

How to apply: review the full position details via the provided link and submit your application by email to the address listed in the post. If you found the opportunity through the Google ML group, mention that in one short line in your application email.

Funding details

Available

What's required

A strong foundation in machine learning is required. No prior experience in dental imaging is required. Curiosity, motivation to learn, and interest in challenging research problems in AI and healthcare are emphasized.

How to apply

Read the full position details, then apply by email to the address provided in the post. Mention in one short line that you found the position through the Google ML group if applicable.

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