We are offering a position for a postdoc for our KWF funded project IMAGINE. While population-based breast cancer screening has been effective in reducing mortality and morbidity associated with later stages of breast cancer, there is still room for improvement. Currently, all tumors detected in screening are acted upon, but it is known that a sizable proportion of these lesions are indolent and will not cause clinical symptoms. It is our goal to find features in the images which can accurately predict whether a screen-detected lesion is indolent or not.
You will develop deep learning based software which analyses a very large annotated database of mammography and breast MRI images and associate these with the findings by a pathologist where the goal is to find features that can discriminate whether a lesion is indolent or not. In this project you will work closely with the associated clinicians and epidemiologists.
For this project the Diagnostic Image Analysis Group of the Radboud University Medical Center, Nijmegen (The Netherlands), is seeking a Postdoctoral researcher with experience in development of machine learning models or medical imaging. This is an excellent opportunity to develop cutting-edge technology to have an impact on breast cancer research and personalized cancer treatment.
You should be a creative and enthusiastic researcher with a PhD in a relevant quantitative field, such as medical image analysis, computer vision, or deep learning. You should have a clear interest to develop image analysis algorithms and an affinity with medical topics. Good communication skills, expertise in software development in Python, as well as expertise in deep learning model development are essential.
Your performance will be evaluated after 1 year. If the evaluation is positive, the contract will be extended by 2 years. Upon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be, depending on the type of job, a screening based on the provided cv. Radboud university medical center's HR Department will apply for this certificate on your behalf.
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.
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