You are an ambitious, creative and enthusiastic researcher with a PhD degree in a relevant field, such as medical image analysis, computer vision, or machine learning. Furthermore you have:

• A clear interest to develop image analysis algorithms within the clinical setting of a University Medical Center (i.e., have affinity with medical topics).
• Good communication skills, enjoying working in a multidisciplinary team and supervising PhD students.
• Expertise in software development, preferably in Python.

Fixed-term contract: 2 years.

We are looking for a postdoc and we can offer a contract for two years. In the first year you work an average of 36 hours a week and in the second year you work an average of 9 hours a week.

Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. And there is more. Our secondary terms of employment are impressive. These are fully tailored to you thanks to our Employment Conditions Selection Model. At Radboud university medical center, you will be given trust, and you will take the responsibility to handle everything together.

• A gross monthly salary between € 3.230 and € 5.088 (scale 10) based on full-time employment.
• An annual vacation allowance of 8% and an end-of-year bonus of 8.3%.
• If you work irregular hours, you will receive an allowance.
• As a full-time employee (36 hours per week), you are entitled to approximately 168 vacation hours (over 23 days) per year.
• Radboud university medical center pays 70% of the pension premium. You pay the rest of the premium with your gross salary.
• You get a discount on health insurance as well: you can take advantage of two group health insurance plans. UMC Zorgverzekering and CZ collectief.
• We provide annual courses, both professional and personal.

In addition to our terms of employment, we also offer employees various other attractive facilities, such as childcare and sports facilities. Want to learn more? Take a look at the CAO UMC.

Radboudumc

The Computational Pathology Group (CPG) is a research group of the department of Pathology of the Radboud University Medical Center. We are part of the interdepartmental Diagnostic Image Analysis Group (DIAG). We develop, validate and deploy novel medical image analysis methods, usually based on machine learning technology and focusing on computer-aided diagnosis. 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 CAMELYON and PANDA grand challenges which we organized. We closely collaborate with clinicians and industry.

Radboudumc
Radboud university medical center is a university medical center for patient care, scientific research, and education in Nijmegen. Radboud university medical center strives to be at the forefront of shaping the healthcare of the future. We do this in a person-centered and innovative way, and in close collaboration with our network. We want to have a significant impact on healthcare. We want to improve with each passing day, continuously working towards better healthcare, research, and education. And gaining a better understanding of how diseases arise and how we can prevent, treat, and cure them, day in and day out. This way, every patient always receives the best healthcare, now and in the future. Because that is why we do what we do.

Read more about our strategy and what working at Radboud university medical center means. Our colleagues would be happy to tell you about it. #weareradboudumc

Any questions? Please contact Prof. Dr. Jeroen van der Laak or Dr. Geert Litjens via +31 6 15 89 16 07.