Research Associate in Multi-Modal Medical Image Registration Join to apply for the Research Associate in Multi-Modal Medical Image Registration role at King\’s College London Research Associate in Multi-Modal Medical Image Registration 2 days ago Be among the first 25 applicants Join to apply for the Research Associate in Multi-Modal Medical Image Registration role at King\’s College London Get AI-powered advice on this job and more exclusive features. The School of Biomedical Engineering & Imaging Sciences at Kingâs College London is a world-leading centre for translatable methods of diagnosing and treating disease. Hosted within St Thomasâ Hospital, our facilities include pre-clinical and clinical MRI, PET, SPECT scanners, as well as research ultrasound platforms. The Quantitative Ultrasound Imaging and Interventions (QUIIN) laboratory is developing advanced ultrasound techniques for imaging and therapeutic interventions, spanning from focused brain ultrasound for drug delivery across the blood-brain barrier, to super-resolution ultrasound imaging and multi-transducer ultrasound methods. About The Role We are looking for an enthusiastic Postdoctoral Research Associate to develop methods for real-time registration of ultrasound skull imaging to MRI/CT head scans. The project is funded by the Advanced Research + Invention Agency (ARIA), a UK R&D funding agency, whose mission is to unlock scientific and technological breakthroughs that benefit everyone. The successful candidate will have a good understanding of image processing, multi-modal image registration, and ultrasound imaging. The post involves the development of software for fast and accurate registration of ultrasound scans of 3D-printed human skulls to MRI/CT head scans. The research associate will develop anthropomorphic head phantoms and algorithms for fast and accurate multi-modal image registration, based on state-of-the-art machine learning approaches. The developed methods will be applied for ultrasound-based navigation in a novel ultrasound engine designed to drive âmosaic neuropharmacology in the brainâ. The projectâs overall aim is to remotely trigger drug delivery for targeted neuromodulation, through bespoke liposome-microbubble combinations in different parts of the brain. The post-holder will lead this exciting ARIA-funded project in the heart of London. The project is highly translational and its results will be used for next generation ultrasound-based navigation in focused ultrasound brain therapies. The project will be based in the Department of Surgical & Interventional Engineering, within the School of Biomedical Engineering and Imaging Sciences, at Kingâs College London. Ultrasound and MRI/CT experiments will be conducted at St Thomasâ Hospital. The post holder will interact with a multi-national team led by Dr. James Choi at Imperial College London, consisting of interdisciplinary experts from Imperial College London, University of Michigan, and University of Arizona. This is a full time post and you will be offered a fixed term contract until 31/12/2026. About You To be successful in this role, we are looking for candidates to have the following skills and experience: PhD in Medical Image Processing, ultrasound/MRI/CT imaging, or a related field* Experience with multi-modal medical image registration Strong academic record, evidenced by publications in peer-reviewed journals and presentations in international conferences Excellent verbal and written communication skills Experience with research ultrasound platforms (e.g., Verasonics) Experience with MR/CT acquisition sequences Ability to work independently and in a team Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click âApply Nowâ. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King\’s. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our âHow we Recruitâ pages. Interviews are due to be held in late June/early July. We are not able to offer sponsorship for candidates who do not currently possess the right to work in the UK. Seniority level Seniority level Associate Employment type Employment type Full-time Job function Job function Research, Science, and Information Technology Industries Education and Biotechnology Research Referrals increase your chances of interviewing at King\’s College London by 2x Sign in to set job alerts for âClinical Fellowâ roles. 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