2 PhD positions in medical image analysis for personalised breast cancer screening (closed)

Job description

Currently, breast screening is almost exclusively performed with mammography, even though it is known that some women are at a much higher risk to develop breast cancer or have dense breasts, in which sensitivity of mammography for detecting cancer is low (<60%). The aim of this project is to develop methods to personalise breast cancer screening. Firstly, reproducible quantitative markers characterizing breast density patterns in mammograms will be investigated and these will be related to the risk of developing breast cancer and the risk of missing a cancer with mammography. Secondly, techniques will be developed to increase feasibility of automated breast ultrasound imaging in women with dense breasts. These will include automated image analysis methods for computer aided decision support and advanced visualisation tools to combine ultrasound and mammography, or to compare screening exams over time. Research will be carried out in a large EU funded consortium in which ten partners cooperate.


  • You should be a creative and enthusiastic researcher with an MSc degree in Computer Science, Physics, Engineering or Biomedical Sciences or similar.
  • Interest in medical imaging and affinity with biomedical research.
  • Excellent communication skills in English, both writing and speech.
  • Expertise in software development, preferably in C++.

Radboud University Nijmegen Medical Centre

Nijmegen is the oldest Dutch city with a rich history and one of the liveliest city centers in the Netherlands. Radboud University has over 17,000 students. Radboud University Nijmegen Medical Centre (RUNMC) is a leading academic centre for medical science, education and health care with over 8,500 staff and 3,000 students.

Department of Radiology

The project will be carried out in the Diagnostic Image Analysis Group (DIAG) at the department of Radiology. DIAG investigates and develops computer aided diagnosis methods to support clinicians in a broad range of medical imaging applications. Research topics include image analysis, image segmentation, machine learning, and the design of decision support systems. Application areas include breast, prostate, and lung imaging. Key to the success of the group is close cooperation with clinical partners and a disease oriented approach. Currently the group consists of 35 researchers, including 20 PhD students (http://www.diagnijmegen.nl).

Terms of employment

You will be appointed as a PhD student at the Radboud University Medical Center Nijmegen, department of Radiology, with the standard salary and secondary conditions for PhD students in the Netherlands. Your performance will be evaluated after 1 year. If the evaluation is positive, the contract will be extended by 3 years. The research should result in a PhD thesis.


For further information please contact Prof Nico Karssemeijer or Dr Bram Platel.


Click on the link below:

Apply using the application form of the employer

Closing date August 21.