ENG03944
Faculty of Engineering
Department of Bioengineering
£49,017 - £57,582 per annum
White City Campus - Hybrid
Full time - Fixed term
The role will engage in translational research developing AI tools for rapid assessment of fetal heart anatomy and function from echocardiography images. It utilizes such tools to assess a type of advanced fetal heart intervention, fetal aortic valvuloplasty, where catheters are used to relieve flow obstruction in the fetal heart to avoid a progression to congenital heart malformation at birth. It will further develop a computational model for better patient selection.
Fetal heart intervention is an advanced therapy where catheters are used to manipulate hearts of unborn fetal children, to improve cardiac function and avoid fetal demise or a progression to cardiac malformation. However, a critical need is to further understand how disease and intervention affects survival, cardiac function, and cardiac growth and remodelling, and a key to advancing the effectiveness of the intervention is to use such knowledge to devise a more accurate patient selection algorithm.
Working with cardiologists across Europe, you will be
You will be responsible for liaising with internal and external collaborators on data collation, perform model development and testing, and collecting feedback on results. There are ample opportunities to network with highly skilled AI experts and clinicians. You will also have the opportunity to co-mentor undergraduate, Masters and/or PhD students. You are further expected to publish findings, and help attract funding.
This is a full-time post (35 hours per week) for 12 months in the first instance.
If you require any further details about the role, please contact: Choon Hwai Yap – c.yap@imperial.ac.uk.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
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