The Diagnostic Image Analysis Group (DIAG) of the Radboud University Medical Center, Nijmegen, is offering one PhD position.
Retinal diseases, such as age-related macular degeneration or diabetic retinopathy, are compromising the vision of more and more patients and causing blindness in an alarmingly large percentage of world population. Multimodal retinal imaging has become an indispensable diagnostic tool in Ophthalmology to early detect, treat and monitor these diseases. Automated retina image analysis has the potential to improve the diagnostic process and make treatment monitoring more effective. However, efficiently leveraging information contained in multimodal imaging is a complex task and many traditional automated solutions do not suffice to accurately extract the required information.
The Diagnostic Image Analysis Group and Fraunhofer MEVIS have started a large joint project called Automation in Medical Imaging (AMI). Funded by Radboud University and Radboud University Medical Center and the Fraunhofer Gesellschaft as an ICON project, AMI will develop a generic platform for automatic medical image analysis. As part of this, one PhD position at DIAG is available to develop solutions for highly automated analysis of multimodal retinal imaging examinations. You will use deep learning to accurately analyze the multimodal images as an alternative to traditional techniques. You will also implement the developed software into CIRRUS, our development environment built on top of MeVisLab, in order to provide a closed product to be deployed in clinical practice.
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++, are essential.
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 Diagnostic Image Analysis Group (DIAG) is a research division of the Department of Radiology and Nuclear Medicine of the Radboud University Medical Center Nijmegen. 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. Radboudumc is a leading academic center for medical science, education and health care with over 8,500 staff and 3,000 students.
The focus of the Diagnostic Image Analysis group 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. Currently the group consists of around 40 researchers.
For more information please contact Clarisa Sánchez by e-mail.
Send applications as a single pdf file to email@example.com. 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 January 31, 2016.