Deep learning is the most active research area in medical image analysis. In this project current limitations of deep learning in the analysis of medical images will be addressed. This includes handling the high dimensionality of medical image data, the limited availability of (annotated) training data, and differences in image acquisition and patient population. This is a collaborative project in which sixteen researchers will work in five Dutch academic centers in collaboration with seven industrial partners.
In our group six researchers will be working on the development of methods for the analysis of cardiovascular images in collaboration with Philips Healthcare and Pie Medical Imaging. The task of the software engineer will be to support these researchers and to enable translation of the developed algorithms for clinical use.
The work will be carried out at the Image Sciences Institute (ISI). The ISI is housed within the Imaging Division of the University Medical Center Utrecht. This enables close collaboration between image scientists and radiologists. You will be working in a team of PhD students and PostDocs working in the field of image processing and analysis, as well as with a team of radiologists.
We are looking for an excellent candidate with an M.Sc. degree in computer science or comparable training, with a strong interest in medical image processing and analysis.
The candidate should have excellent programing skills. Especially experience in C++, Python, the administration of Linux servers, and in maintaining software packages is helpful. Experience with machine learning and deep learning is a plus. The candidate should also be highly motivated, proactive and independent, and able to work in an international and interdisciplinary team of researchers, medical doctors and engineers.
The maximum salary for this position (100%) is € 4.194,00 gross per month based on full-time employment (work week 36 hours). This job is based on a temporary position for 2 years.
If you have any questions about this vacancy, please contact Mrs.Dr I Isgum, Associate Professor, phone 0887553173. Email email@example.com.
Acquisition based on this jobopening is not appreciated.