Postdoctoral Image Analyst

London (Greater) (GB)
£38,826 - £45,649 per annum, including London Weighting Allowance
30 Sep 2021
End of advertisement period
28 Oct 2021
Job Type
Research Related
Contract Type
Fixed Term
Full Time

Job description

The post-holder will work closely with a team of researchers in the acquisition, processing and analysis of several cross-sectional and longitudinal neuroimaging datasets obtained as part of studies on brain development and psychiatric disorders. Data have been acquired using different imaging modalities, including volumetric MRI, Diffusion Tensor Imaging, and functional Magnetic Resonance. The post-holder will contribute to the acquisition, processing and analysis of brain imaging data, and in the integration of these data across imaging modalities, and with clinical and genetic data, using innovative approaches. The post is based in London at the Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, and is funded for a fixed term period.  


This post will be offered on an a fixed-term contract until 30 November 2022 

This is a full-time  post - 100% full time equivalent


Key responsibilities

  • The pre-processing and management of datasets. 
  • The application of methods for morphological, DTI and fMRI analyses.
  • The application of machine learning, deep learning, and other approaches to neuroimaging data analysis.
  • The development and application of advanced analytical bioinformatics approaches that permit modelling of normative and pathological brain growth using big data, and integration of data from different time points, and from both imaging and non-imaging modalities.
  • Work closely with the other researchers in the team to ensure that neuroimaging data are collected following the study protocols.
  • Organize and implement analyses of brain imaging data using both volumetric and other morphological approaches, machine learning algorithms, brain growth modelling.
  • Contribute to the development of imaging databases and data entry.
  • Promote an effective collaborative relationship with related projects.
  • Contribute to reports, and dissemination of findings and papers at internal and external academic meetings and conferences.
  • The successful candidate will also be encouraged to develop their own research interests.
  • Other relevant activities as directed by Prof. Paola Dazzan.

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.  

Skills, knowledge, and experience 

Essential criteria  

1.       PhD awarded or near completion in a subject with major mathematical or statistical component (e.g. engineering, mathematics, statistics, computer science, physics). 

2.       Research experience in neuroimaging and analysis of large datasets. 

3.       Ability to prepare ethical, research and development and research governance applications. 

4.       Presenting results at conferences. 

5.       Previous experience of research in multicentre studies and demonstrable excellence in conducting scientific research. 

6.       Writing and publishing papers. 

7.       Ability to work with clinical teams in research 

8.       Computing and programming skills. 

9.       Decision making relating to research planning 


Desirable criteria

1.       Willingness to travel on project business when required  

2.       Supervising junior researchers 

A degree in a subject with major mathematical or statistical component (e.g. engineering, mathematics, statistics, computer science, physics). 


Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.


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