About the role and project
We are looking for a candidate with a quantitative background who has completed (or is about to complete) a PhD in a quantitative field for a post-doctoral position within the RESTED (REbalancing circadian rhythms in Sleep and heart rate To Ease Dissociative symptoms) project in order to model the links between Mental Health and SCRD (sleep and other circadian rhythm disturbances).
Underlying the project is evidence that feelings of dissociation are strongly associated with sleep disorders and are a transdiagnostic risk factor for the development of depression, anxiety and psychosis. However, no one has investigated the role of dissociative symptoms in the links between SCRD (sleep and other circadian rhythm disorders) and MH (mental health). We propose to model how fluctuations in sleep and heart rate are related to fluctuations in dissociation, depression, anxiety and psychosis. Based on this understanding, our vision is to prevent the clinical course of these symptoms with low-cost interventions that improve sleep and heart rate.
Specifically, in RESTED we want to determine cross-sectional and longitudinal associations between sleep, heart rate and symptoms of dissociation, depression, anxiety and psychosis in adolescents and young adults. In addition, we want to develop novel circadian biomarkers, sleep detection technologies and analytical approaches to model bidirectional associations between sleep, autonomic function and daily fluctuations in cognition and emotion.
To do this, we will use Mediation Analysis, Granger Causality and Directed Information. Finally, we will use Explainable AI methods, and Machine Learning models to predict mental health variables from circadian variables. You will be based at the University of Essex although you will join our entire interdisciplinary team working in collaboration with the University of Sussex, Birmingham and the NHS.
Our university houses the Centre for Brain Science and various BCI laboratories, with access to state-of-the-art EEG and EMG equipment, computer-controlled electrical and mechanical stimulators and other devices to optimally measure sensory, motor and associated cortical activity.
CSEE, ranked 6th in the UK as research power in the last REF, has several laboratories including one of the best BCI laboratories in Europe and a Health AI laboratory, and international collaborations with prestigious foreign research institutes including the Biotech campus of EPFL Geneva and the Institute of Neuroinformatics at ETH Zurich.
A full list of duties for this post are located within the attached job pack.
Skills and qualifications required
Applicants are expected to hold a PhD in a relevant field (engineering, mathematics, computer science or physics), or be close to completion of PhD. You will have the ability and willingness to complement and enhance the research project/department/school’s education and research strengths and areas of planned development. Strong communication skills, both written and verbal are also essential for the post.
Please use the 'Apply' button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here.
Our website http://www.essex.ac.uk contains more information about the University of Essex. If you have a disability and would like information in a different format, please email resourcing@essex.ac.uk.
£37,099 per annum
