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PhD candidate Radiology

 UMC Utrecht  3584 CX Utrecht
The research will be carried out at the department of Radiology of the University Medical Center Utrecht, which is part of the Imaging Division of the University Medical Center Utrecht. The Imaging Division enables close collaboration between image scientists (image processing and analysis) and radiologists. You will be working in a team of PhD students and PostDocs working in the field of ultra-high-field strength (7 Tesla) Magnetic Resonance Imaging (MRI), as well as with the team of radiologists. The Imaging Division also closely collaborates with the Brain Center Rudolf Magnus, which allows you to apply developed MRI techniques directly to elderly people and patients with cognitive decline, in collaboration with clinical researchers investigating cerebrovascular disease.

Small vessel disease (SVD) causes 25% of all cerebral strokes and is a major cause of cognitive decline, dementia and functional disability in the elderly. Two important challenges hamper the development of effective treatments. First, little is known about the mechanism by which SVD leads to ischemic brain damage and, thus, to cognitive decline. Second, the current clinical markers and image-based markers of SVD do not reflect SVD itself, but macroscopic brain damage secondary to SVD. Unlike large vessels, small vessels are not visible with current imaging techniques, which leave, thus, a ‘terra incognita’ of small vessel pathology between large vessels on the one hand, and macroscopic brain damage on the other.
The aim of this research is to discover the ‘terra incognita’ by developing innovative magnetic resonance imaging (MRI) techniques that yield non-invasive markers of small vessel (dys)function in the human brain. An example of such a functional marker is the change in blood flow in response to a breathing challenge in which CO2 is administered. There is a PhD-project available, in which you will develop new imaging strategies on an ultra-high-field strength (7 Tesla) MRI scanner. 7 Tesla MRI offers more signal-to-noise than standard clinical MRI scanners, and has also changed contrasts. You will exploit the benefits of 7T MRI to develop new imaging methods (MRI pulse programming and image processing), and test these methods in validation studies in healthy humans. An important part of the project will be the translation of these techniques to patient studies that aim to study the role of SVD in the development of cognitive decline and dementia. This translational work will be done in close collaboration with clinical researchers from the department of Neurology (and the Brain Center Rudolf Magnus).

We are looking for an excellent candidate with an M.Sc. degree in preferably (bio-)physics or applied physics, with a strong interest in magnetic resonance imaging methods. The candidate must have a good scientific background, should be highly motivated and independent, and able to work in an interdisciplinary team of scientists, engineers and medical doctors. Programing experience is required, and knowledge of C/C++ is an advantage.

How to apply:
Kontakt für Bewerbungen
J.J.M. Zwanenburg, Associate Professor of Advanced MRI
Bitte beziehen Sie sich bei Ihrer Bewerbung auf jobvector und geben Sie die folgende Referenznummer an: 2016/0119

Über UMC Utrecht

With over 1,100 beds and more than 11,000 employees, the University Medical Center Utrecht is one of the largest academic health care centers in the Netherlands. Our aim is to improve. Our patients’ health, but also our students and employees. Whether you are a doctor or a business economist, a researcher or a SAP-specialist: working with us means having a job that matters, access to the...

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