Postdoctoral Researchers in Advanced Image Analysis and Machine Learning for Brain Imaging
An exciting opportunity has become available for potentially five posts, up to four based at the [FMRIB Centre], Nuffield Department of Clinical Neurosciences (NDCN), and one based at the OHBA Lab, Department of Psychiatry, 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.
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). Kings and Donders are also recruiting postdocs under this project.
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; and brain imaging for individuals.
We are looking for postdocs in the following areas: image analysis methods for structural, functional (fMRI and MEG), 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.
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.
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 project is jointly overseen by Professors Saad Jbabdi, Steve Smith, Mark Jenkinson, Mark Woolrich, Karla Miller (Oxford), Emma Robinson (KCL), and Christian Beckmann (Nijmegen). Successful applicants will work under the supervision of two or more of the
above, and in close collaboration with all the PIs on the grant.
The post is fixed-term for a period of 3 years in the first instance.
Only applications received before 12.00 midday on Monday 11 November 2019 will be considered. Interviews will be held as soon as possible thereafter.
More details at:
https://www.jobs.ac.uk/job/BVW975/postdoctoral-researcher-in-advanced-image-analysis-and-machine-learning-for-brain-imaging
https://www.jobs.ac.uk/job/BVV828/post-doctoral-researcher-in-advanced-image-analysis-and-machine-learning-for-brain-imaging
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=143075
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=143205