|Title: postdoctoral researcher in compressed sensing MRI||Posted: April 15, 2014|
|Company/Institution: Institute of Myology, |
|Department: NMR Laboratory,|
Integrate and improve Compressed Sensing (CS) algorithms for quantitative MRI in the context of research on neuromuscular pathologies.
Quantitative MRI is being more and more used in the study of neuromuscular degenerative diseases, both for the therapeutic follow up of patients and for improving our understanding of the disease mechanisms. In order to make these new imaging techniques more easily available in a clinical context, it is becoming crucial to reduce acquisition times, in particular by using compressed sensing methods.
Job duties involve implementing the current state-of-the-art reconstruction of compressed images and proposing improvements adapted to quantitative MRI of skeletal muscles. Duties also include developing tools to ease future integration of new reconstruction techniques, in particular by using the Gadgetron framework (gadgetron.sourceforge.net).
The position is a one-year postdoctoral position at the Institute of Myology, under the supervision of Dr Pierre Carlier, in a multi-disciplinary unit composed of MDs, MR physicists, biologists. The lab owns 3 MRI systems (Siemens 3T, Bruker 4T and small animal 7T) and is located in Paris center, within the large Piti
Application Instructions: Profile
The candidate will have a PhD degree in Applied Mathematics, Computer Vision, or in a related field, with a required experience of sparse representation and compressed sensing.
Excellent computer programming skills (C++, Matlab, Python) are demanded, as well as an ability to work either independently or within a multidisciplinary team. Capacity to interact with MRI physicists is essential.