It is currently unknown in advance which breast cancers will respond to chemotherapy and which will not. Methods to differentiate early would provide physicians with the unique opportunity to switch to a different type of chemotherapy when an insufficient response is anticipated.
As art of a large EU project you will work with a large dataset of images from patients who undergo comprehensive multispectral MRI, before, during and after chemotherapy. Your task will be to develop state-of-the-art methods for automated quantification of changes in complex signals in the temporal, spatial and functional domain; to investigate advanced pattern recognition techniques such as radiomics and deep learning; to correlate the changes in imaging with molecular information in blood and tissue at pathology; and to build an automated system for response monitoring to advice doctors on the optimal course of action before and during treatment.
You are able to find creative solutions to difficult problems and are capable of working in a team of physicians, and industrial partners. Upon successful completion of your tasks, you will obtain your PhD degree.
This research will be carried out at the Image Sciences Institute in collaboration with the departments of Radiology, Pathology, Medical oncology and the Julius Center for Health Sciences at the UMC Utrecht. The Image Sciences Institute is housed within the Imaging Division of the University Medical Center Utrecht. This enables close collaboration between image scientists and radiologists. With close to 200 researchers, the Imaging Division of the UMC Utrecht is one of the largest concentrations of medical imaging researchers in Europe. The division is internationally renowned for its research on image acquisition, image analysis, diagnostic imaging, image-based prognosis, and image-guided interventions. You will be working in a team consisting of medical image analysis PhD students and staff as well as radiologists. For more information, see www.isi.uu.nl and www.imago.uu.nl.
You have an MSc degree in (applied) physics or biomedical engineering, affinity with (medical) image processing, and experience with computer programming; Experience with C++ and Python is an asset. Knowledge of pattern recognition techniques and artificial intelligence techniques such as deep learning, radiomics, as well as multivariate statistics is a distinct advantage. You are able to find creative solutions to difficult problems and are capable of working in a team of physicians, and industrial partners. Upon successful completion of your tasks, you will obtain your PhD degree.
The maximum salary for this position (100%) is € 2.919,00 gross per month based on full-time employment (work week 36 hours). This job is based on a temporary position for 4 years.
In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses, career opportunities and personal budget. The terms of employment are in accordance with the Cao University Medical Centers (UMC).
If you have any questions about this vacancy, please contact Mr.Gilhuijs, universitair hoofddocent via phone +31 (0)88 75 531 71 or email firstname.lastname@example.org.
Acquisition based on this jobopening is not appreciated.