Research Assistant/Associate in Biomedical Image

Imperial College London
London, UK
Job Type: 
Full Time
Closing Date: 
Thursday, January 31, 2019

Fixed term appointment from 1st March 2019, for up to 3 years


We are seeking to appoint a Research Assistant / Associate for a collaborative project funded by the Engineering and Physical Sciences Research Council (EPSRC). The aim of the project is to use artificial intelligence and machine learning solutions to discover and quantify markers of pathological neonatal and foetal movements.


As part of the project we seek to answer three  fundamental questions:


(1) Can we use machine learning to correlate neonatal movements to neurological development,


(2) can we develop automated means to quantitatively assess foetal and neonatal movement patterns, to facilitate earlier diagnosis and more effective treatments of life-changing conditions affecting babies and children


(3) can we use machine learning to elucidate links between specific movement patterns or characteristics and pathological conditions, use computational modelling in collaboration with a post-doctoral researcher at the Bioengineering department to provide a physiological understanding of movement signatures symptomatic of specific pathologies, and validate the efficacy of assessing movement patterns as a diagnostic tool.


The project will combine important areas of technology to address the challenge of identifying neurological conditions immediately after birth: RGB+depth image acquisition, magnetic resonance imaging and AI and ML techniques.