The Diagnostic Image Analysis Group and the Medical UltraSound Imaging Centre at the Department of Radiology and Nuclear Medicine, Radboud University Medical Center, are offering a PhD position.
99% of all maternal deaths resulting from complications of pregnancy and childbirth occur in developing nations, in particularly in areas with limited access to healthcare, such as Subsaharan Africa, South America and Asia.
Ultrasound imaging is an effective tool for identifying those at risk for maternal complications. Unfortunately, this technology is usually not available to pregnant women in low resource settings due to the high cost of equipment, the need for a reliable power supply and a shortage of adequately trained health care workers.
We are part of an international consortium of industry, universities and a development aid organization developing the BabyViewer, a low cost ultrasound scanner that can be connected to a tablet or small laptop. The machine will be simple to use so that it can be operated efficiently by midwifes in low resource countries. To this end, the scanner will be equipped with integrated computer detection algorithms. Your task is to develop these algorithms using image analysis and machine learning technology. The algorithms should optimize the quality of the ultrasound images, guide the operator to acquiring the correct imaging plane, and once the computer detects that the correct plane is imaged, a diagnosis, for example breach position, or a quantification, for example the gestational age of the fetus from standardized measurements, should be automatically computed.
Your work will be integrated in the BabyViewer, and evaluated in ongoing field tests in several African countries. Your work should also lead to scientific publications that will bundled in a PhD thesis.
You should be a creative and enthusiastic researcher with an MSc degree in Computer Science, Physics, Engineering or Biomedical Sciences or similar. Experience with image analysis and machine learning is preferred. You should have a clear 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.
Radboud University has over 17,000 students. Radboud University Medical Center is a leading academic center for medical science, education and health care with over 8,500 staff and 3,000 students. Nijmegen is the oldest Dutch city with a rich history and one of the liveliest city centers in the Netherlands.
You will work at in the Diagnostic Image Analysis Group in the Department of Radiology and Nuclear Medicine. DIAG develops new computer methods to automatically extract information from medical images to support and assist health care professionals. In this project you will also work with researchers of the Medical UltraSound Imaging Center. MUSIC is led by Chris de Korte and focuses on a range of applications in medical ultrasound.
This application is closed.