Research Fellow

3 weeks ago

Stirling, United Kingdom University of Stirling Full time

**Post Details**
Full time.

Fixed term for 32 months.

Interviews are expected to take place on 19th January 2023.

There is an expectation that work will be undertaken in the UK.

For the purposes of sponsorship, this is a postdoctoral role under SOC code 2119.

**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).

**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.

**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
- Contributing to the writing of reports, briefing papers, research summaries and academic journal articles on the results
- Participation in webinars, events, conferences attached to the project and workshops to disseminate the results
- Working closely with other members of the ISPA team (PI, Co-I’s and other Research Fellow, Project coordinator & Research Assistant)
- Fulfil wider support duties in the project when needed

**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
- Experience of using statistical software (for instance: STATA, R, or MLwiN)
- Interest in issues of place, age and disability
- Experience of successfully conducting high quality research both independently and collaboratively within strict timescales
- Understanding and awareness of research governance and ethical issues and experience in data management
- Good communication skills including experience of writing/contributing to publications and presentations

**Desirable Criteria**
- Experience of working with multiple datasets including Children of the 90s (ALSPAC); Millennium Cohort; BCS50, 70; HAGIS; ELSA
- Experience using spatial data (such as UK Census) and GIS software (including QGIS, ArcGIS or R)
- Experience of documenting analysis workflow (i.e. syntax files; data dictionaries; GitHub)
- Experience of longitudinal data analysis
- Experience of data visualization
- Experience exploring intersectionality in a multilevel modelling framework
- Good collaboration skills with a diverse range of research partners and stakeholders

**Behaviours and Competencies**
The role holder will be required to evidence that they can meet the qualities associated with the following behavioural competencies, as detailed within the AUA Competency Framework.
- **Managing self and personal skills**
Being aware of your own behaviour and mindful of how it impacts on others, enhancing personal skills to adapt professional practice accordingly.
- **Delivering excellent service**
Providing the best quality service to external and internal clients. Building genuine and open long-term relationships in order to drive up service standards.
- **Finding solutions**
Taking a holistic view and working enthusias

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