Research Associate in Machine Learning in Epilepsy

UCL Institute of Neurology
London & Chalfont, UK
Job Type: 
Full Time
Closing Date: 
Saturday, October 14, 2017

Duties and Responsibilities

Applications are invited for a Research Associate in the Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology. The post is funded by the Sobell Foundation as part of the larger MRC funded project "Improving the presurgical evaluation of patients with refractory focal epilepsy using advances neuroimaging techniques". This aims to improve imaging acquisition and processing techniques to detect the underlying abnormality in patients with focal epilepsy.

The post holder will be responsible for developing and applying machine learning techniques to address the clinical problem of detecting the underlying abnormality in patients with focal epilepsy and visually normal MRI scans. The post holder is expected the work in collaboration with colleagues at the Translational Imaging Group, UCL Centre for Medical Image Computing. 

The post is available immediately and is funded by the Sobell Foundation for 12 months in the first instance.

Key Requirements

Applicants should have a PhD (or equivalent industry experience) in neuroimaging, imaging neuroscience, machine learning or a related discipline, and a strong methodological background and experience in neuroimaging methods, machine learning or multivariate statistics. Experience in neuroimaging data analysis is essential, as is experience in machine learning techniques and proficiency in Matlab, Python or other scientific programming. Strong problem solving skills, excellent oral and written communication skills and good interpersonal skills are also a requirement. Experience in software development is desirable.

Further Details

A job description and person specification can be accessed via, reference 1670336.

If you have any queries regarding the vacancy please contact the Principal Investigator, Dr Gavin Winston -