Research Associate AI and fetal MRI
- Employer
- KINGS COLLEGE LONDON
- Location
- London (Greater) (GB)
- Salary
- Grade 6, £38,304 to £42,652 per annum, including London Weighting Allowance
- Closing date
- 15 Nov 2020
View more
- Academic Discipline
- Biological Sciences, Life sciences
- Job Type
- Research Related, Research Associate
- Contract Type
- Fixed Term
- Hours
- Full Time
Job Details
Fetal MRI, with its ability to visualize and quantify structure and function of all fetal organs as well as the surrounding womb, allows unique and fascinating insights into early human development. However, it poses significant engineering challenges:
Fetal motion, maternal breathing and subclinical contractions are normal during fetal MRI scans, but hamper the image quality especially for high resolution scans. On the other hand, these events contain important information, crucial to understand eg how a fetus a high risk will react to labor contractions. These are typically identified after the respective scans leading to repeated scans and missed information.
AI techniques detecting fetal motion, breathing and other dynamic events such as contractions in real-time during the scan allow to redesign fetal MRI by immediately adapting the acquisition to the ongoing fetal life.
Automatic detection of the fetal state, his/her location, the gestational age and any areas of concern (such as reduced amniotic fluid) followed by the adjustments of the scan to the ongoing, detected fetal life will contribute to changing the paradigm of fetal imaging and thus advance our knowledge and capacities in this challenging area.
This post is part of a UKRI fellowship which aims to develop an entirely self-driving MRI scan from the engineering challenges described to clinical translation. The post will use the MR infrastructure provided by the School of Biomedical Engineering and Imaging Sciences and will be based at St Thomas’ Hospital. This project and team is embedded in the Centre for Medical Engineering – an outstanding, interdisciplinary and enriching research environment.
Collaboration with external academic and industrial partners including Imperial College, NYU, Siemens Healthineers and north Hamburg will provide ample opportunities.
Successful candidates will have knowledge in computational AI techniques and be interested in interdisciplinary work.
Objectives: The main objective of this post is to develop a novel real-time guidance for fetal MRI scans.
The aims of this post are (i) to use AI techniques in real-time to detect the fetal sleep and motion state during the MRI examination and (ii) to use this information in real-time to guide the MRI scan.
The post holder will be primarily responsible for adapting and developing real-time AI techniques to obtain spatially-localized information from the entire uterus together with the project partners. One or multiple research stays with collaboration partners are therefore planned.
Company
King's College London is one of the top 20 universities in the world and among the oldest in England. King's has more than 27,600 students (of whom nearly 10,500 are graduate students) from some 150 countries worldwide, and some 6,800 staff.
King's has an outstanding reputation for world-class teaching and cutting-edge research. In the 2014 Research Excellence Framework (REF) King’s was ranked 6th nationally in the ‘power’ ranking, which takes into account both the quality and quantity of research activity, and 7th for quality according to Times Higher Education rankings. Eighty-four per cent of research at King’s was deemed ‘world-leading’ or ‘internationally excellent’ (3* and 4*). The university is in the top seven UK universities for research earnings and has an overall annual income of more than £684 million.
King's has a particularly distinguished reputation in the humanities, law, the sciences (including a wide range of health areas such as psychiatry, medicine, nursing and dentistry) and social sciences including international affairs. It has played a major role in many of the advances that have shaped modern life, such as the discovery of the structure of DNA and research that led to the development of radio, television, mobile phones and radar.
King's College London and Guy's and St Thomas', King's College Hospital and South London and Maudsley NHS Foundation Trusts are part of King's Health Partners. King's Health Partners Academic Health Sciences Centre (AHSC) is a pioneering global collaboration between one of the world's leading research-led universities and three of London's most successful NHS Foundation Trusts, including leading teaching hospitals and comprehensive mental health services. For more information, visit: www.kingshealthpartners.org.
King’s £600 million campaign, World questions|KING’s answers, has delivered huge global impact in areas where King’s has particular expertise. Philanthropic support has funded new research to save young lives at Evelina London Children’s Hospital; established the King’s Dickson Poon School of Law as a worldwide leader in transnational law; built a new Cancer Centre at Guy’s Hospital; allowed unique collaboration between leading neuroscientists to fast-track new treatments for Alzheimer’s, Parkinson’s, motor neurone disease, depression and schizophrenia at the new Maurice Wohl Clinical Neuroscience Institute; created the Cicely Saunders Institute: the first academic institution in the world dedicated to palliative care, and supported the King’s Sierra Leone Partnership in the Ebola crisis. Donations provide over 300 of the most promising students with scholarships and bursaries each year. More information about the campaign is available at www.kcl.ac.uk/kingsanswers.
- Mini-site
- KINGS COLLEGE LONDON
- Telephone
- +(44)02078365454
- Location
-
STRAND
LONDON
WC2R 2LS
United Kingdom
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