Post-doctoral Researcher in Advanced Image Analysis and Machine Learning for Brain Imaging- University of Oxford

Vacancy Reference Number
Closing Date
11 Nov 2019
£41,526 to £49,553 p.a. (Grade 8)
Department of Psychiatry, Warneford Hospital, Headington, Oxford
The post is fixed-term for a period of 3 years in the first instance.

An exciting opportunity has become available for potentially five posts, up to four based at the FMRIB Centre, Nuffield Department of Clinical Neurosciences (NDCN) Vacancy ID 143205, and one based at the OBHA Lab, Department of Psychiatry at the Warneford Hospital.

You do not need to apply for all posts as applications made in NDCN will automatically be considered for the post in Psychiatry and vice versa. A less experienced candidate may be appointed at Grade 7 (£32,817 - £40,322 p.a.) with a commensurate adjustment in selection criteria, responsibilities, duties and job title.

The posts are funded by a Wellcome Trust Collaborative Award between Oxford (Wellcome Centre for Integrative Neuroimaging), London (King’s College), and Nijmegen (Donders Institute).

The overall aim is to extend the reach of imaging neuroscience to take full advantage of the richness of the new big data imaging resources, such as: major advances in the precision and richness of brain imaging data; complementarity of multi-modal imaging; very large subject numbers; and linked information about health outcomes, genetics, and risk factors.

Successful applicants will be integral to this project and will work on advancing neuroimaging in one of four interlinked areas: high precision imaging and image analysis of anatomy, networks, and dynamics; biologically interpretable imaging; brain imaging for populations; brain imaging for individuals.

We are looking for postdocs in the following areas: image analysis methods for structural, functional, and diffusion MRI; big data machine learning for neuroimaging; data harmonisation and deep generative models.

Responsibilities will include developing new mathematical approaches in brain image analysis in one of the four research areas outlined above; developing software implementation of these approaches in FSL and communicating the research both internally within the consortium, and externally through journal publications and conference presentations.

Key requirements 

Applicants will be expected to hold a BSc (or equivalent) in a relevant area (i.e. physics, engineering, computer sciences, neurosciences), and a PhD (or be close to completion) in a relevant computational domain.

A track record in research commensurate with level of experience; in depth knowledge in statistics, and/or machine learning, and/or engineering maths in the broad sense; excellent communication skills (oral and written); proficiency in computer programming (Matlab, Python, or C/C++); the ability to work independently and meet deadlines and excellent analytical skills are also essential.

Experience with MRI analysis and a good knowledge in statistics and/or Bayesian learning would be advantageous.

For more information and to apply, please click here. 

Contact Details

Contact Person : HR Administrator
Contact Phone : 0165 618204
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