Publisher
source

Aalborg University

PhD in Unsupervised Learning for Medical Image Analysis at Aalborg University Aalborg University in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

PhD stipend for a period of 3 years; salary and terms follow the Danish AC collective agreement and university regulations. The post is a full-time PhD appointment.

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Country

Denmark

University

Aalborg University

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Keywords

Computer Science
Biomedical Engineering
Deep Learning
Biology
Computer Vision
Neuropsychology
Medical Science
Anomaly Detection
Unsupervised Learning
Statistics
ML

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About this position

One or more PhD positions are available at Aalborg University, Faculty of Medicine, Department of Health Science and Technology (HST), in Unsupervised Learning for Medical Image Analysis. The project focuses on anomaly detection, learning from unlabeled or weakly labeled medical images, and developing new machine learning methods for detecting deviations from healthy anatomy.

The successful candidate will join an international research environment with access to clinical experts, modern research facilities, and interdisciplinary collaboration across medicine, engineering, and health sciences. The PhD is linked to the PhD programme in Biomedical Engineering and Neuroscience and includes research, coursework, teaching/dissemination experience, and an external research stay.

Eligibility highlights: a Master’s degree in machine learning, computing, data science, biomedical engineering, or a related field; strong Python programming skills; experience with machine learning platforms; and an advantage for applicants with deep learning, computer vision, medical image analysis, or unsupervised learning experience. Strong written and spoken English is required.

Funding: PhD stipend for 3 years, with salary and employment terms according to Danish university regulations and the AC collective agreement.

Application: submit an application letter, CV, bachelor’s and master’s diplomas with grades, a one-page research statement, and optional references through Aalborg University’s recruitment system. Contact persons listed in the post include Jeremy Tan, Karina Stendahl Jensen, and Annemarie Davidsen.

Funding details

PhD stipend for a period of 3 years; salary and terms follow the Danish AC collective agreement and university regulations. The post is a full-time PhD appointment.

What's required

Applicants should hold a Master's degree in machine learning, computing, data science, biomedical engineering, or a related field. Strong Python programming skills and experience with common machine learning platforms are required. Experience with deep learning, computer vision, medical image analysis, or unsupervised learning is an advantage. English language skills, both written and spoken, are required. The PhD student must enroll in the Doctoral School in Medicine, Biomedical Science and Technology and complete 30 ECTS of PhD courses, teaching or dissemination experience, and an external research stay outside Aalborg University, preferably 3-6 months abroad.

How to apply

Prepare the required application documents, including application letter, CV, diplomas, research statement, and optional references. Submit the application through Aalborg University’s recruitment system via the job advertisement on the university website.

More information can be found here

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