PhD Fellow in Unsupervised Medical Image Analysis

The Faculty of Medicine, Department of Health Science and Technology, Medical Informatics and Image; Aalborg; On-site; DKK 350,000 - 400,000; Full time

Job summary

The Faculty of Medicine, Department of Health Science and Technology, Medical Informatics and Image Analysis at Aalborg University invites applications for one or more PhD stipends in unsupervised learning for medical image analysis, with appointment from November 1, 2026 or as soon as possible thereafter.

The appointment is for three years and the successful candidate will be enrolled in the PhD programme in Biomedical Engineering and Neuroscience, with access to experienced supervisors, modern

Qualifications

• Strong technical background in machine learning, computing, data science, biomedical engineering, or related field at Master level.
• Programming skills (Python) and experience with common ML platforms.
• Experience with deep learning, computer vision, medical image analysis or unsupervised learning is an advantage.

Responsibilities

• Develop new machine learning methods for medical image analysis, with a focus on anomaly detection and unsupervised learning.
• Collaborate with clinical experts and other researchers to advance fundamental and applied ML research.

Skills

Machine learning

Python

Deep learning

Computer vision

Medical image analysis

English

Education

Master's degree

Job description

The Faculty of Medicine, Department of Health Science and Technology, Medical Informatics and Image Analysis at Aalborg University invites applications for one or more PhD stipends in unsupervised learning for medical image analysis, with appointment from November 1, 2026 or as soon as possible thereafter.

The appointment is for three years and the successful candidate will be enrolled in the PhD programme in Biomedical Engineering and Neuroscience, with access to experienced supervisors, modern