Diagnostic pathology involves microscopic evaluation of human tissues. Increasingly, microscopic images are digitized to support the diagnostic workflow. This rapidly growing field of 'digital pathology' also yields ample opportunities for development of computer-aided diagnosis (CAD) algorithms. State-of-the-art deep learning methods have recently been proven capable of supporting the diagnostic work of pathologists. We have now reached the point where such algorithms can be implemented in a routine clinical setting. In a public-private collaboration we will start development of deep learning algorithms that will form the basis for future commercial products.

We are looking for a creative and enthusiastic researcher with a PhD degree in a relevant field, such as medical image analysis, computer vision, or machine learning. You should have a clear interest to develop image analysis algorithms and an affinity with medical topics. Good communication skills and expertise in software development, preferably in Python, are essential.

The terms of employment are in accordance with the Collective Bargaining Agreement for University Medical Centers (CAO UMC).

Radboudumc

The Computational Pathology Group (CPG) is a research group of the department of Pathology of the Radboudumc. CPG works closely together with The Diagnostic Image Analysis Group (DIAG) of the Department of Radiology and Nuclear Medicine. We develop, validate and deploy novel medical image analysis methods, usually based on machine learning technology and focusing on computer-aided diagnosis (CAD). Application areas include diagnostics and prognostics of breast, prostate and colon cancer. Our group is among the international front runners in the field, witnessed for instance by the highly successful CAMELYON16 and CAMELYON17 grand challenges which we organized. We closely collaborate with clinicians and industry.

Radboudumc
Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. To get a better picture of what this entails, check out our strategy.

Read more about what it means to work at Radboudumc and how you can do your part.