|Salary:||£29,605 to £44,263 per annum|
|Placed On:||29th September 2023|
|Closes:||29th October 2023|
Applications are invited for a Research Assistant / Research Associate to work both with Dr Sarah Lloyd-Fox and international partners. This exciting role is embedded within the Cambridge hub of an established and thriving research team of the Brain Imaging and Global Health (BRIGHT) project (https://www.globalfnirs.org/the-bright-project/).
The postholder will join the team during phase III of the project - BRIGHT IMPACT - to work on feature extraction of neural markers and longitudinal modelling of the rich, complex, multimodal, developmental (0 to 5 years of age) datasets that have been already collected in the UK and The Gambia.
The post-holder will work with Dr Sarah Lloyd-Fox and international collaborators to use these datasets (i.e. fNIRS/EEG/neurocognitive eye-tracking markers/language, motor and developmental assessments) in models of exposure, for example, to predict the contribution of exposure phenotypes (i.e. undernutrition / caregiving context) to the substantive variation in developmental outcomes seen in infants born into a low income setting in The Gambia.
They will be supported by a team of established research academics both at the University of Cambridge and across the collaborating institutes (UCL, KCL, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, the University of Oxford, Radboud University, University of British Columbia, University of Greenwich and Queen Mary, University of London) .
As part of this collaborative team, the postholder will also contribute to identifying primary targets of intervention and the delivery of a scalable developmental toolkit (including optimized designs for accessible lower-density NIRS and EEG systems and a battery of cognitive behavioural tasks)
The post will be based in Central Cambridge in the Department of Psychology.
This is a wide-ranging position, which would suit a self-motivated individual who is experienced in working in a diverse team and able to perform effectively under multiple demands.
Applicants should be educated to PhD level in a relevant discipline, have experience of working with R, multilevel modelling, and ideally also with longitudinal / neuroimaging data or Python.
This post will allow the candidate to develop their skills in a range of areas including modelling and advanced statistical analyses, developmental, neuroimaging, epidemiological and global health datasets, and collaborating across diverse multidisciplinary, international networks.
Excellent organisational and computing skills, the ability to work independently and the ability to prioritise tasks effectively are essential, as is meticulous attention to detail.
Fixed-term: The funds for this post are available until 31 August 2025 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.
For informal inquiries, please contact Dr. Sarah Lloyd-Fox at firstname.lastname@example.org
Closing Date: Sunday 29th October 2023 at 12 Midnight
Interviews: Thursday 9th November 2023
Please quote reference PJ38704 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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