진학프로석·박사 채용 접수 플랫폼

Join the IMAGINE open innovation lab community to accelerate innovation. As a researcher you will:

• • Design and conduct research on metabolic MR imaging technologies, focusing on improving quality of cancer treatment for patients as well as reducing workload for clinicians. Collaborate with experts in AI, data science, and medical imaging to develop integrated solutions.
• • Engage in translational research, bridging the gap between technological innovation and clinical application.
• • Contribute to publications and presentations to disseminate findings within the scientific community.
• • Participate in interdisciplinary meetings and workshops to foster knowledge exchange and innovation.

Your work is vital to advancing less invasive treatment options, reducing patient recovery times, and optimizing healthcare resources.

In this particular PhD-position you will have the opportunity to develop, optimize and validate advanced MR metabolic imaging methods, for 3T and 7 Tesla MRI, that provide quantitative maps of dynamic metabolic processes in the brain. This includes MR sequence optimization, acceleration strategies and advanced post-processing of MR data.

Beyond technical development, you will have the opportunity to implement and evaluate your methods in the clinics. Your techniques will be implemented in ongoing clinical resaarch on (pediatric) brain tumor as well as potential application in epilepsy, neurodevelopmental disorders and neurodegenerative disases. The overarching goal is the clinical translation of novel metabolic imaging methods into the clinical routine.

If you enjoy building things from scratch, optimizing systems for performance, and solving difficult technical challenges with real clinical impact, this PhD position is designed for you.

Your position is hosted at the Precision Imaging group of the Centre of Image Sciences in the UMC Utrecht. The research of the Precision Imaging group focuses on multiparametric body and brain imaging of structure and function in health and disease, with particular emphasis on development of tools for i) improved imaging, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies.