Postdoctoral Research Associate in Control Systems and AI for Next Generation MRI Systems
The post holder will join a multidisciplinary team working to develop novel technologies for low field Magnetic Resonance Imaging (MRI) with the overarching objective of reducing costs and improving access to this now essential imaging modality.
MRI usually requires high performance hardware that is engineered to meet strict requirements, such as highly uniform magnetic fields and perfectly linear field gradients that respond linearly through time. These systems typically use expensive hardware controlled by relatively simple systems; the high cost ultimately leads to high scan costs and restricted availability for patients.
This project seeks to change the paradigm for next generation MRI technology. The post holder will develop new control algorithms that are able to obtain similar results to existing MRI systems, but using cheaper and less ideal hardware that would yield poor imaging results using current methods. The post would suit candidates with interests in control systems design, potentially employing artificial intelligence. Familiarity with MRI systems and engineering is desirable but not a necessary requirement.
This project is part of the centre for medical engineering (https://medicalengineering.org.uk/ ) within the School of Biomedical Engineering and Imaging Sciences based at St Thomas’ Hospital (https://www.kcl.ac.uk/bmeis/about-us/about-us). The School is home to a large community of researchers working to improve healthcare through the use of advanced engineering, includes an active program of research and development of MRI. Our close partnerships with industry and St. Thomas’ Hospital allow us to deliver ground breaking translational impact.