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. For this project we are seeking a postdoctoral researcher.                

You should be 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 Pytrhon, are essential.                

Fixed-term contract: 1 year.

Conditions of employment

• You will be initially appointed for a period of 1 year. Your performance will be evaluated after 12 months. If the evaluation is positive, the contract will be extended for another year.
• Upon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG). Radboud university medical center’s HR Department will apply for this certificate on your behalf.

Scale 11: max. € 67574 gross income per year at full employment (incl. vacation bonus and end of year payments)

Radboudumc (university medical center)

The Radboudumc center advances human knowledge by conducting biomedical, translational and clinical research in order to improve wellbeing.

Our key strength is medical life-sciences and clinical practice, with an impressive infrastructure comprising state-of-the-art technology platforms and (translational) research facilities. The Radboudumc is therefore uniquely positioned in the emerging Euregio and Dutch healthcare infrastructure to play a leading role in the new healthcare paradigm of prediction, prevention and personalised medicine.

The Radboudumc focuses on scientific health challenges of today, with an eye on emerging diseases of the future.

Our mission: ‘to have a significant impact on healthcare’.

The Computational Pathology Group (CPG) is a research group of the department of Pathology of the Radboud university medical center. 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.