Postdoctoral Research Assistant in Ultrasound Imaging for Developing Countries (CALOPUS)
We are seeking a full-time Postdoctoral Research Assistant to work on an inter-disciplinary UK – India collaboration that aims to automate the analysis of antenatal ultrasound images to facilitate referral to the appropriate level of pregnancy care in rural low and middle income countries (LMICs) settings. The idea is to combine capture of ultrasound videos with machine learning (deep learning) to automatically interpret the content of the ultrasound videos and make a referral recommendation to a user with no experience of ultrasound imaging. This project explores how we can do this, and will look, as well, at how we can make the technological solution culturally acceptable, and usable in the intended clinical environment. The project will challenge state-of-the-art thinking in machine learning applied to medical imaging and provides a rare opportunity for an imaging scientist to get hands-on experience in an international effort to improve pregnancy care in India. The post is available for 2+ years.
You should possess a doctorate, or near completion of doctorate, in machine learning applied to biomedical image analysis. A background and expertise in developing original deep learning based methods for recognition in images and videos, and good written and oral communication skills are essential. An interest in collaborating with clinical partners to design and develop solutions which may have impact on healthcare practice in the developing world in the future is also essential. The work is a joint collaboration with the University of Oxford Nuffield Department of Obstetrics and Gynaecology and will also involve travel to the UK from the base in the Translational Health Science and Technology Institute (THSTI) in New Delhi and their partnering hospital(s).