PhD Fellowship: Unsupervised Medical Image Analysis

Aalborg Universitet; Gistrup; On-site; DKK 324,000 - 402,000; Full time

Job summary

Aalborg University, Faculty of Medicine, Department of Health Science and Technology, invites applications for one or more PhD stipends in Unsupervised Learning for Medical Image Analysis, available from 1 November 2026 or as soon as possible thereafter. The appointment is three years and you will be enrolled in the PhD programme in Biomedical Engineering and Neuroscience.

As a PhD fellow you will join an international research community with access to supervisors, facilities and collaboration

Qualifications

• Master's degree in ML, computing, data science, biomedical engineering or related field.
• Programming skills (Python) and experience with ML frameworks.
• Experience with deep learning, computer vision, medical image analysis or unsupervised learning is advantageous.
• English language skills, both written and spoken.

Skills

Strong technical background in ML

Python programming

Experience with DL / CV / medical img

English proficiency

Education

Master's degree in ML / computing / biomedical engineering

Job description

Aalborg University, Faculty of Medicine, Department of Health Science and Technology, invites applications for one or more PhD stipends in Unsupervised Learning for Medical Image Analysis, available from 1 November 2026 or as soon as possible thereafter. The appointment is three years and you will be enrolled in the PhD programme in Biomedical Engineering and Neuroscience.

As a PhD fellow you will join an international research community with access to supervisors, facilities and collaboration