Vacancy: Two PhD positions for deep learning research in digital pathology

The Diagnostic Image Analysis Group (DIAG) of the Radboud University Medical Center, Nijmegen, is offering two PhD positions.



Clinical pathology involves microscopic evaluation of human tissues. Increasingly, microscopic images are digitized to support the diagnostic workflow. This strongly growing field of ‘digital pathology’ also yields ample opportunities for development of automated image analysis algorithms, which can support the diagnostic process. Pathology images are typically very large and display a large amount of variability. Many traditional image analysis and pattern recognition techniques do therefore not suffice to accurately extract the required information.

The collaboration between the Diagnostic Image Analysis Group and the Department of Pathology of the Radboudumc has already resulted in development of ‘state of the art’ algorithms (e.g. applying deep learning). With this, we are at the cutting-edge of this exciting new research area. For different projects we are now looking for two PhD students. Both projects involve collaboration with outstanding German research groups, requiring the candidates to spend longer periods of time at these sites.


You should be a creative and enthusiastic researcher with an MSc degree in Computer Science, Physics, Engineering or Biomedical Sciences or similar, with a clear interest to develop image analysis algorithms and an affinity with medical topics. Good communication skills and expertise in software development, preferably in C++ and Python, are essential.

Terms of employment

You will be appointed as a PhD student 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.


The Radboud University in Nijmegen has over 17,000 students. Closely linked to the university, Radboudumc is a leading academic center for medical science, education and health care with over 8,500 staff and 3,000 students. The Diagnostic Image Analysis Group (DIAG) is a research division of the Department of Radiology and Nuclear Medicine of the Radboud University Medical Center Nijmegen. The positions offered here will be within the digital pathology group, which is part of both DIAG and the Pathology department. Nijmegen is the oldest Dutch city with a rich history and one of the liveliest city centers in the Netherlands.

The focus of DIAG is the development and validation of novel methods 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 imaging, prostate imaging, digital pathology, lung imaging, and retinal imaging. Key to the success of the group is close cooperation with clinicians, as well as collaborations with national and international research institutes and companies. Working at DIAG offers you the unique opportunity to have access to both state-of-the-art equipment and pattern recognition techniques as well as to clinical expertise and a large amount of image data. DIAG currently has an outstanding group of around 40 researchers.


For more information please contact Jeroen van der Laak by e-mail.


Send applications as a single pdf file to In this pdf file the following should be included: CV, list of followed courses and grades, letter of motivation, and preferably a reprint of your Master thesis or any publications in English you have written.

Closing date is October 6, 2015.