Applications are invited for a Postdoctoral Researcher to work on a Wellcome Trust funded project, Exploring the Mechanisms of Distributed Spontaneous Brain Activity. The project is led by Professor Mark Woolrich and uses a combination of electrophysiology (M/EEG, LFP recordings), fMRI and computational methods development to advance our understanding of brain network dynamics. The post is based in the Department of Psychiatry at the Warneford Hospital.
This post is for a fixed-term (funded for 2 years).
You will build novel machine learning techniques to gain new insights into the nature of brain network dynamics from functional neuroimaging data (fMRI, M/EEG, LFP). You will also interact with, and make important contributions to, a wider research programme, between Oxford (Wellcome Centre for Integrative Neuroscience, London (Kings’s College) and Nijmegen (Donders Institute), and will be at the heart of some of the major brain imaging initiatives.
You will have or be close to completion of a PhD in a neuroimaging, computational neuroscience, machine learning, applied statistics, information engineering, computer science, engineering maths, physics or a relevant computational domain. With knowledge of machine learning, and/or engineering maths you will have the necessary mathematical and computational skills to put these into practice. Good knowledge in statistics and/or Bayesian learning would be desirable.
Whilst the role is a Grade 8 position, we would be willing consider candidates with potential but less experience who are seeking a development opportunity, for which an initial appointment would be at Grade 7 (£32,817 - £40,322 p.a.) with the responsibilities adjusted accordingly. This would be discussed with applicants at interview/appointment where appropriate.
You will be required to upload a supporting statement/covering letter explaining how you meet the job requirements and details of two referees as part of your online application.
For more information and to apply, please click here.
The closing date for this post is 12.00 midday on 20 January 2020.
HR Administrator
Contact Phone : 01865 618204
Please state vacancy ID :144323
