英國�？巳卮髮W(xué)2023年招聘博士后職位（睡眠腦電圖用于精神疾病診斷）
�？巳卮髮W(xué)（University of Exeter），又名埃克斯特大學(xué)，是一所位于英國西南部的頂尖公立綜合性研究型大學(xué)，起源于十九世紀中葉，于1955年受皇家特許正式創(chuàng)建大學(xué)�，F(xiàn)為英國羅素大學(xué)集團、英聯(lián)邦大學(xué)協(xié)會和GW4聯(lián)盟等組織成員。
Graduate Research Assistant / Postdoctoral Research Associate
University of Exeter
United Kingdom
January 01, 2024
Contact:N/A
Offerd Salary:£32,332
Location:N/A
Working address:N/A
Contract Type:fixed term basis.
Working Time:Full time
Working type:N/A
Ref info:N/A
Job details
Job reference
R87729
Date posted
24/11/2023
Application closing date
01/01/2024
Location
Exeter (Hybrid)
Salary
The starting salary will be from £32,332 on Grade E for the Graduate Research Assistant role and from £32,982 on Grade E for the Postdoctoral Research Associate role, depending on qualifications and experience.
Package
Generous holiday allowances, flexible working, pension scheme and relocation package (if applicable).
Contractual hours
36.5
Basis
Full-time
Job category/type
Research
Attachments
Job/description/R87729/GRA.pdf Job/description/R87729/ PDRA.pdf
Graduate Research Assistant / Postdoctoral Research Associate
Job description
Faculty of Health and Life Sciences
This new full-time post is immediately available until 3 September 2026 on a fixed term basis.
This role offers the opportunity for hybrid working – some time on campus and some from home.
We welcome applications from candidates interested in working part-time hours or job-sharing arrangements.
This role may be subject to additional background screening.
The post
The Faculty wishes to recruit a Graduate Research Assistant or Postdoctoral Research Associate to support the work of Dr Alexander Shaw. The successful applicant will be part of a Wellcome funded multi-site project developing a translational framework for personalised psychiatry, harnessing the transdiagnostic stratification of sleep EEG.
Large-scale psychiatric genomics studies have catalogued a suite of chromosomal deletions or duplications (copy number variants, CNVs) associated with significantly increased risk of intellectual dysfunction and neurodevelopmental disorders, including schizophrenia. Children carrying these psych-CNVs have high risk of early-onset insomnia, exhibit restless sleep and abnormal sleep-dependent EEG oscillations. This project will therefore work with young psych-CNV carriers to map links between sleep problems and daily challenges arising from impaired memory, attention and social interactions.
The project team spans University of Bristol, Cardiff University and University of Exeter, and includes researchers with expertise across clinical, psychological and neuroscientific domains.
This post will be based in Exeter and will focus on computational models of thalamo-cortical dynamics to explain and unpack the sleep-EEG data. This crucial part of the project will also use machine learning and statistical models to interrogate the relationship between sleep EEG and detailed clinical, phenotypic and genomic data to deliver a translational framework for personalised psychiatry, harnessing the transdiagnostic stratification of sleep EEG. You will work closely with other postdocs and the wider research team at other sites, and will be involved in engaging patients with lived experience (PWLE) from the beginning of the project.
The project will involve:
· Engage PWLE group to join our team of “Sleep Detectives”.
· Developing and applying dynamical, biophysical models (c.f. Dynamic Causal Modelling) of the neuronal processes and connectivity underlying the observed sleep EEG recordings.
· Using machine learning and related tools to link EEG and model parameters to detailed clinical and phenotypic data to make predictions about risk of psychosis.
· Regular (online and occasional in-person) meetings with the full team of Sleep Detectives.
· You will be expected to lead the analysis, present your findings locally, nationally and internationally, write up research for publication and ensure you are using the most up to date analytical techniques.
About you
The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies.
Applicants will have expertise in analysis of human neurophysiological data (e.g. E/MEG), experience with computational neuroscience (e.g. Dynamic Causal Modelling or knowledge of dynamical systems and optimisation), experience with predictive statistical models and machine learning classifiers.
GRA: Applicants will be educated to first degree level or possess an equivalent qualification/experience in a related field of study or equivalent experience and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes.
PDRA: Applicants will possess a relevant PhD (or be nearing completion) or possess an equivalent qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes.
Please ensure you read the Job Description and Person Specification for full details of this role by clicking on the attachment.
What we can offer you
· Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines to produce internationally exciting research;
· Support teams that understand the University wide research and teaching goals and partner with our academics accordingly
· An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development
· Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career
· A multitude of staff benefits including sector leading benefits around maternity, adoption and shared parental leave (up to 26 weeks full pay), Paternity leave (up to 6 weeks full pay), and a new Fertility Treatment Policy
· A beautiful campus set in the heart of stunning Devon.
The University of Exeter
We are a member of the prestigious Russell Group of research-intensive universities and in the top 200 universities in the world (Times Higher Education World University Rankings 2024 and QS World University Ranking 2024). We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2023, underpinned by Gold ratings for Student Experience and Student Outcomes.
Our world-leading research impact has grown more than any other Russell Group university in recent years, and we are home to some of the world's most influential researchers, seeking to answer some of the most fundamental issues facing humankind today. More than 99% of our research is of international quality and 47% is world-leading (2021 Research Excellence Framework).
We encourage proactive engagement with industry, business and community partners to enhance the impact of research and education and improve the employability of our students. Read about our world leading research – Green Futures and how we are transforming education for a changing world. We are located in a beautiful part of the country and Exeter (a fast growing tech hub) is one of only a few UK cities to have been designated as a UNESCO Creative City
Our Equality, Diversity and Inclusion Commitment
We are committed to ensuring reasonable adjustments are available for interviews and workplaces.
Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented within our working community.
With over 30,000 students and 7,000 staff from 150 different countries we offer a diverse and engaging environment where our diversity is celebrated and valued as a major strength. We are committed to creating an inclusive culture where all members of our community are supported to thrive; where diverse voices are heard through our engagement with evidence-based charter frameworks for gender (Athena SWAN and Project Juno for Physics), race equality (Race Equality Charter Mark), LGBTQ+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer.
Further Information
For further information please contact Dr Alex Shaw, e-mail a.d.shaw@ex.ac.uk.
