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Research Associate (Fixed Term)


The post holder will support harmonisation of two unique Cambridge cohorts with other European cohorts to study development and ageing of brain and cognition across the lifespan, funded by an EU Horizon 2020 grant ("LifeBrain"). The CamCAN cohort contains cognitive, neuroimaging (MRI and MEG) and lifestyle data on over 2500 adults from 18-88 years of age; the CALM cohort contains similar data on 500 children aged 5-15. Data from both cohorts are stored and processed at the University of Cambridge Medical Research Council (MRC) Cognition & Brain Sciences Unit (CBU), but will need additional analyses to relate to comparable data held in other European cohorts.

The primary responsibility will be to maintain the existing repositories of all the imaging and behavioural data, to extend and develop automated pipelines for further analysis of the imaging data (which includes, T1-, T2-, Diffusion-, and BOLD-weighted MRI, as well as MEG data, using an Automated Analysis batching system written in Matlab, which calls SPM, FSL and other neuroimaging software) and to refine the behavioural data (using a Matlab-based query function). There is also scope for pushing forward new analyses and leading projects for publication, particularly in the context of multimodal techniques that integrate several brain and behavioural measures. The post-holder will also maintain external websites and supervise data access, liaising with other data managers in the LifeBrain consortium. The position will involve several trips to Europe each year, together with senior CBU scientists, to attend the LifeBrain Project Meetings.

Computer programming skills are essential, including expertise in Matlab and experience in Linux/Unix. Familiarity with one or more of the above types of imaging data is highly desirable, particularly image-based processing (of NIFTI files).

The post-holder will work as part of a large team, including MRI physicists, MEG/EEG experts, senior cognitive neuroscientists, and most directly, several other post-doctoral neuroscientists working at the CBU. There is also plenty of scope for the post-holder to contribute their own methodological ideas and development, including final analyses relating to the main theoretical questions of the project.

Fixed-term: The funds for this post are available for 2 years in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a standard Disclosure and Barring Service check.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

The closing date for applications is the 4th of July 2017 with interviews yet to be confirmed by the department.

Please quote reference SU12417 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Apply online