Research Fellow

The Post

We are looking for skilled and enthusiastic quantitative social scientist to join an ESRC-funded project looking at Intersectional Stigma of Place-based Ageing (ISPA).  

We are looking for a full time Research Fellow (100% FTE 32M/G7) who will support Dr Vikki McCall (PI), and Co-I’s Professor Alasdair Rutherford (Faculty of Social Sciences, University of Stirling) and Dr David Manley (University of Bristol) on advanced quantitative data analysis. The candidate will also work with Co-I’s Dr Louise Reid (University of St Andrews) and Dr Kim McKee (University of Stirling) within the project via analysis that supports project outputs. This post will involve substantial secondary analysis of existing datasets.

The candidate will also assist an emerging Early Career Researcher network and be supported in their capacity building and career development.

The ISPA Project

The ISPA project will firstly investigate the lived realities of disabled adults with sensory and mobility impairments, identifying how different types of stigma (related to age, disability, and place) converge to produce added barriers to living inclusively, and; secondly, it will utilise this new understanding to develop an innovative Inclusive Living Toolkit co-produced with older disabled adults. Ultimately, the project will create more inclusive and evidence-based approaches to ageing across the lifecourse, whilst also co-producing and using the developed Inclusive Living Toolkit to deliver practical interventions in areas of multiple deprivation to support organisations to understand and tackle intersectional stigma.

The post-holder will mainly focus on combining diverse quantitative datasets to understand the complex picture around under-represented groups who experience intersectional stigma and explore how this is related to accessibility and inequality. They will focus on new connections between disability, place, stigma and multiple inequalities (including income, health, class, age). Rather than focus on a single dataset, we intend to approach the questions in a more exploratory manner with multiple datasets including Children of the 90s (ALSPAC); Millennium Cohort; BCS50, 70; HAGIS; ELSA. The project involves mapping of quantitative patterns of inequality focusing on disability, place, stigma and multiple inequalities (including income/health/class/age).

The post holder will collaborate with an emerging group of community peer-researchers (CPRs), the Scottish Federation of Housing Associations and Housing LIN alongside a wide variety of housing, health and social care partners across the UK.

We will also consider part-time or job-sharing applications. Applications from people who identify as disabled are encouraged.

Informal enquires can be made to Dr Vikki McCall at vikki.mccall@stir.ac.uk

Description of Duties

• Accessing, cleaning and preparing large individual level longitudinal secondary datasets
• Operationalizing the measures of risk and vulnerability in the data
• Estimation of statistical models
• Production of outputs, including tables and visualisations, of the analysis
• Support training and co-production of analysis and outputs with Community-Peer Researchers

Essential Criteria

• Completed, or near-completion, PhD in social science or other relevant discipline, or equivalent experience
• Experience of working with large longitudinal and/or individual level datasets
• Experience of statistical modelling

For further information, including a full description of duties, essential criteria and details on how to apply, please see https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=3413&jobTitle=Research%20Fellow

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