Postdoctoral Researcher in Infant Sleep/Chronobiology

PLEASE NOTE THAT THIS IS A RE-ADVERTISEMENT. PREVIOUS APPLICANTS NEED NOT
APPLY.





An exciting opportunity has arisen for a Post-doctoral Researcher with the
scientific expertise to undertake the integration, statistical and data
science analysis of sleep and circadian rhythm data from two existing cohorts:
The INTERGROWTH-21st Project (healthy, low-risk mother-child dyads) and
INTERBIO-21st Study7 (medium- to high-risk mother-child dyads) from Brazil,
India, Italy, Kenya, Pakistan, South Africa, Thailand and the UK. There will
be scope to work in interdisciplinary teams within the research groups in
Oxford, and also in collaborating centres in the UK (Southampton) and EU
(Sweden), as well as opportunities to connect to clinical studies and research
impact initiatives.





The successful applicant will apply inter-disciplinary, state-of-the-art,
computational and statistical analytical techniques to (1) setting up an
international sleep meta-dataset, combining sleep, fetal, perinatal, and
postnatal growth, health, environmental and neurodevelopment data from the
INTERGROWTH-21st and INTERBIO-21st cohorts and (2) modelling analyses of the
sleep data to examine cross-population differences, interactions with early
life (including fetal brain) markers, socio-ecological factors and
neurodevelopment.





The post-holder will benefit from mathematical/statistical/data science
expertise, and previous experience with the analysis of circular data. The
post-holder will have responsibility for (1) integrating the data and
constructing the metadataset; (2) designing and implementing the analysis, and
(3) writing up reports and publications, as well as managing their own time
and resources.





The post-holder will have the opportunity to undertake collaborative work
involving leading centres of chronobiological, early child development and
perinatal research in the UK and EU.





The suitable candidate must have, or be close to obtaining, a PhD in infant
sleep, neuroscience, medical statistics, computational neuroscience, clinical
informatics or a closely related field. Experience in the following
statistical and mathematical techniques is also essential: Creation and
curation of large datasets including wit circular data, Advanced statistical
modelling including variance component analysis, and regression analysis and
Meta-analysis of data. Experience of planning and implementing a data analysis
strategy for a research project, accurate record keeping, excellent
communication skills and the demonstrable ability to prepare research articles
at an international peer-reviewed level are also essential for this role.





The post is offered on a full-time basis and is fixed term for one year in the
first instance (flexible working arrangement at ≥ 0.5 FTE over two years may
be considered). However, we expect there will be career development
opportunities for the post-holder beyond this first phase of this project.





Applications for flexible working arrangements are welcomed and will be
considered in line with business needs.





You will be required to upload a CV and Supporting Statement as part of your
online application. Click here for information and advice on writing an
effective Supporting Statement.





The closing date for applications is 12.00 noon on Monday 27th November 2023
with interviews expected to take place early-mid December 2023.