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Research Fellow (Maternity Cover (Part time 0.5 FTE)

Queen's University Belfast - Languages, Literature and Culture

Location: Belfast
Salary: £39,922 to £41,122 per annum
Hours: Part Time
Contract Type: Fixed-Term/Contract
Placed On: 4th November 2024
Closes: 18th November 2024
Job Ref: 24/112281

The post holder will work closely with ‘Behavioural Research UK’ (BR-UK) Health and Wellbeing Theme CoLead (Dr Laura McGowan), wider BR-UK working groups/staff and Hub Manager as appropriate. The post holder will support and contribute to the development of a programme of high-quality behavioural research, with a focus on health and wellbeing.

Tasks may include conducting rapid literature reviews, analysing quantitative data, assisting with qualitative research, organising knowledge exchange and public involvement activities and writing future funding grants.

The post holder will produce material for publication and dissemination and will engage with BR-UK coinvestigators, collaborators and partners throughout.

This is a temporary role to cover a period of maternity leave for up to 39 weeks on a part time basis, working 18.5 hours per week.

About the person:

The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria:

  • Have or be about to obtain* a PhD in medicine, health, behavioural or social sciences (or a closely related) discipline (within 3 months of the closing date of the post)
  • Significant, relevant, recent research experience in research to address major societal challenges, with a focus on human health-related behaviours.
  • Experience of investigating or applying evidence, theories and techniques relating to human health behaviour change.
  • Experience in carrying out quantitative behavioural research, including with large samples.
  • Experience of conducting and publishing systematic literature reviews (e.g. systematic review and/or scoping reviews) following standard protocols.
  • Experience using statistical software packages, e.g. SPSS, R or similar.
  • Proven ability to participate in or initiate collaborative research in a multi-disciplinary environment.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.

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