Postdoctoral Research Fellow

The University of Edinburgh - CMVM - Edinburgh Medical School/Deanery of Clinical Sciences

Full time: 35 hours per week

Fixed term: 3 years

The Opportunity:

To analyse neuroimaging, cognitive, and biological data from the UKRI MRC-funded PREterm Neurodevelopment and COGnition study (PRENCOG), the Theirworld Edinburgh Birth Cohort (TEBC), and other early life image datasets available to the research community. We wish to develop an understanding of how preterm birth affects the brain by studying children born preterm and term comparators. We are collecting multiscale data during the neonatal period and at ages 5 and 7 years. The post-holder will apply statistical and computational approaches to the analysis of high-dimensional data sets from children affected by preterm birth, including MRI, DNA methylation, and phenotypic data, and they will undertake longitudinal image analyses. To contribute to the development of new ideas, approaches, concepts or techniques, to the overall direction and management of this research project, and to publishing or otherwise disseminating the outputs of the research.

This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

This post is fixed term for 3 years, but there is a possibility of an extension.

The salary for this post is£41,064 to £48,822per annum.

Your skills and attributes for success:

• PhD in neonatal neuroimaging (MRI)
• Postdoctoral research experience in neonatal neuroimaging (MRI
• Sound understanding of the potential non-academic impacts early life brain research, and experience engaging with stakeholders to achieve these.
• Experience integrating MRI with collateral data clinical, biological and behavioural data.
• Experience and achievement in the neonatal neuroimaging science (MRI), reflected in a research portfolio that includes high quality publications and grant income.