Postdoctoral Researcher in Advanced Image Analysis for Brain Imaging

We are looking for a Postdoctoral Researcher in Advanced Image Analysis for Brain Imaging to join the Nuffield Department of Clinical Neurosciences (NDCN). This role will be to develop and apply image processing algorithms and software, to process two-timepoint (longitudinal) data from UK Biobank brain imaging. This will involve development of image alignment methods, population template image generation, and brain pathology modelling. All of this will be specific to longitudinal imaging, i.e., where we have more than one timepoint imaging from each participant.

You will be joining the FMRIB Analysis Group in Oxford, which is a leading research group in brain image analysis, and produces FSL (FMRIB Software Library), the world’s most widely used research software that spans all the major structural and functional brain imaging modalities. FMRIB members Smith and Miller are the scientific leads of the brain imaging component of UK Biobank.

Successful applicants will also have the opportunity to contribute to the next generation of FSL tools, which is the most widely used software toolbox that combines structural, functional, and diffusion MRI analysis. FSL is used in more than 1000 universities and hospitals worldwide (160,000 downloads in the past 5 years).

We are looking for a postdoc with experience in image analysis novel methods development and software. Applicants will be expected to hold a PhD/DPhil in relevant quantitative area, as well as knowledge of statistics and/or Bayesian learning, and necessary mathematical and computational skills to put these into practice. Skills in computer programming (e.g. Matlab, Python, or C++), a track record in research, and in depth knowledge of image processing and statistics are essential.

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

This post is full time and fixed term for 3 years in the first instance.

Only applications received before midday 12:00 on Tuesday 30th April 2024 will be considered. 

Interviews will be held as soon as possible thereafter.