Postdoctoral Researcher in Neuroimaging

We are looking for a Postdoctoral Researcher in Neuroimaging based within the
Wellcome Centre for Integrative Neuroimaging (WIN), reporting to Professor
Karla Miller and Associate Professor Ludovica Griffanti. The project is funded
by the NIHR Oxford Health BRC Brain Technologies theme, which focuses on the
scientific/clinical interface to create and test accurate tools for measuring
brain structure and function to improve risk identification, early diagnosis,
outcome prediction and treatment targeting.



Millions of hospital brain scans are performed globally each year. At the
moment, these scans are interpreted by eye. This means the structure and
content of the radiology reports is very variable, and even the most expert
clinician may not be able to detect subtle changes in this way. In the
research setting, we build powerful algorithms that analyse information
objectively, compare scans across individuals or over time. However, these
tools are mostly designed to analyse homogeneous data from groups of
participants in research studies rather than to inform clinical decision
making about individual patients based on variable clinical data. The post
holder will contribute to the steps needed to deploy such brain-health markers
to support individual patient decision making in clinical practice.





You will be primarily responsible for the development of methods to obtain
comparable measures from scans acquired with different hardware in both
clinical and research settings. This will involve i) assessing variability of
brain-health markers across hardware and its impact on clinically-relevant
outcomes; ii) developing a strategy to minimise non-biological variability in
the measures and iii) implement it at the acquisition and/or image processing
level. The project is in close collaboration with the University of
Manchester, which will also provide access to brain scanners from three major
vendors in clinics across the city with the aim of creating a standard output
from all clinical settings. Some of your duties include developing questions,
generate original ideas, and conduct individual research on data harmonisation
approaches and techniques to standardise imaging phenotypes across MRI scanner
platforms, contribute to the development of the harmonisation strategy for BRC
and propose and conduct experimental investigations to assess the variability
of imaging phenotypes across MRI scanner platforms.





It is essential that you hold a PhD/DPhil in engineering, physics,
neuroimaging, or other related subject, have expertise in MRI analysis,
ideally using FSL and expertise in scientific computation, optimisation
techniques, and/or statistical methods.





It is desirable that you have experience with neuroimaging and/or a background
in neuroscience, experience with machine learning and/or advance regression
methods and a track record of independence, such as managing a research
project and/or supervision.





Please see the below 'Job Description' for further details on the
responsibilities and selection criteria, as well as further information about
the university and how to apply.





**The post is full time for a fixed term contract until 31st March 2025 in the
first instance.**





**Only applications received before 12.00 midday on Wednesday 6th March will
be considered.**





**Interviews will be held as soon as possible thereafter.**