Vacancy: PhD position Computer-Aided Detection of Tuberculosis in Chest Radiographs

The Diagnostic Image Analysis Group at the Department of Radiology, Radboud University Nijmegen Medical Centre, is offering a PhD position.

Organization

The Diagnostic Image Analysis Group is a research division of the Department of Radiology of the 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.

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, 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 16 researchers, including 10 PhD students.

Job profile

Tuberculosis (TB) is one of the most deadly diseases worldwide. Chest x-rays are important for the detection of new cases of TB, but interpretation of chest x-rays is difficult and in countries with a high TB burden there are not many experts available. We are therefore creating a computer system to analyze chest x-rays to help medical officers in high burden countries to use x-ray in TB health care. A PhD position is available for a researcher who will investigate new methods for the detection of abnormalities related to TB in chest x-rays. Topics include the detection of cavities on x-rays, segmentation and suppression of normal anatomy, detection of pleural abnormalities and quantification of disease burden.

Embedding

This project is part of our CAD4TB project and this position is funded by the TB-NEAT study, a collaboration between 16 countries in Europe and Africa aimed at finding new diagnostics for TB. There will be regular contact with our partners. We also collaborate with Delft Diagnostic Imaging, a Dutch company that provides a complete solution for TB screening with self-contained digital chest x-ray units. Several of these units are operational in Zambia and South Africa. A first prototype of our CAD system is currently being tested on these units and regular visits to these sites may be part of the research project. A large database of chest x-rays is available and further extending this database together with our international partners is part of this research project. You will be part of the DIAG team that works on chest x-ray analysis; the team consists of technical researchers, radiologists and pulmonologists and also works on temporal comparison and nodule detection.

Requirements

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.

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.

Information

For more information feel free to contact Dr. B. van Ginneken by e-mail.

Application

Send applications as a single pdf file to b.vanginneken@rad.umcn.nl. 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.