We are looking for an enthusiastic Postdoctoral Researcher to support our work in Fetal Magnetic Resonance Imaging at University College London.
MRI is increasingly used for definitive prenatal diagnosis in cases of suspected disease, and has been shown to be superior to ultrasound at defining and detecting abnormalities (including head, neck, thoracic, abdominal and spinal malformations). However, MRI is a relatively slow imaging technology, which makes it sensitive to motion. This is particularly problematic in Fetal imaging, where irregular and unpredictable motion often result in non-diagnostic, motion-corrupted images.
This project focusses on the use of machine learning (ML) for development of optimised real-time 2D and 3D MRI acquisition strategies, low-latency recsontructions, and development of online post-processing tools for rapid Fetal imaging. The successful applicant will join a multi-disciplinary group of academics across UCL, and will include scanning on a new 0.55T scanner at the Royal Free Hospital.
The candidate is expected to have completed Ph.D. in physics, engineering or equivalent. Experience with MR physics, pulse sequences, image reconstruction, machine learning, or image post-processing are highly desired. The position allows for the unique combination of theoretical and practical aspects with the perspective of a fast and broad translation of the developed methodology in the clinical environment.
To find out more please contact Jennifer Steeden: jennifer.steeden@ucl.ac.uk