Applications are invited for a postdoctoral researcher in the MR Techniques group at the Radboud University, Donders Institute (PI: David Norris). You will work on a project funded by the Dutch Science Foundation (NWO) on high spatial resolution diffusion-weighted MRI for the detection of small brain infarcts, traumatic brain injury and cholesteatoma. The project is a collaboration between the Donders Institute, Siemens Healthineers, MR Coils BV, and the university medical centres of Antwerp, Nijmegen and Utrecht. The appointee will be mainly responsible for image reconstruction in the project, which will involve state of the art techniques including simultaneous multi-slice acquisition, partial parallel imaging, and advanced phase correction.
The Donders Institute for Brain, Cognition and Behaviour is a world-class research centre devoted to understanding the mechanistic underpinnings of human cognition and behaviour in health and disease. The Institute is home to more than 600 researchers from 35 countries who share the common goal of contributing to the advancement of the brain, cognitive and behavioural sciences through investigator-driven research, and improving health, education and technology by applying advances in this field. The Institute consists of four centres: the Centre for Cognition, the Centre for Cognitive Neuroimaging, the Centre for Medical Neuroscience, and the Centre for Neuroscience.
You will be based at the Donders Centre for Cognitive Neuroimaging. All research staff have access to state-of-the art research and training facilities and a generous conference and travel budget. English is the lingua franca at the Institute.
The MR Techniques group combines a strong track record in methodological developments in human neuroimaging with a friendly, supportive and diverse environment.
You should be in possession of, or have submitted a PhD thesis in MRI at the time of appointment.
Previous experience with reconstructing partial-parallel and or simultaneous multi-slice data sets using Siemens (ICE), Philips or Gadgetron platforms would be a considerable advantage. A good knowledge of MR physics and strong programming skills are essential. We also expect good organisational and communication skills, and the ability to work in a tight-knit team.