Research Associate (CareQuAI)

We have an exciting opportunity for a Research Associate with expertise in qualitative research, AI, digital platforms, care work, job quality and/or long-term care to join an international project exploring how new technologies can support fairer, more inclusive and sustainable care systems.

Are you interested in how AI, digital platforms and new technologies are changing care work? Do you want your research to help shape fairer, more inclusive and sustainable long-term care systems? We are looking for a Research Associate to join the AI-driven platform care: Promoting equal and inclusive job quality in long-term care (CareQuAI). This international consortium project is funded through the Joint Programming Initiative - More Years, Better Lives and focuses on one of the most urgent challenges facing long-term care: how to respond to workforce shortages while ensuring that technology supports good jobs, high-quality care, equality and inclusion.

You will join a cross-national research team working across Finland, Sweden and the UK, with partners at the University of Eastern Finland, KTH Royal Institute of Technology, the University of Sheffield and the University of St Andrews. Together, we are exploring how AI-driven care platforms and associated digital technologies are being used in long-term care, how they affect care workers and care organisations, and what practical solutions could improve recruitment, retention, job quality and care quality.

This is an opportunity to do research with real-world relevance. You will work with platform care providers, care workers, managers, policy stakeholders, worker representatives and academic partners. You will contribute to UK case study research, qualitative data analysis, participatory activities on conversational AI and digital technologies, and the production of evidence-based guidelines and recommendations for different stakeholder communities.

We are looking for someone with a PhD, or equivalent research experience, in a relevant social science discipline. You may have expertise in long-term care, social care, home care, care work, platform work, digitalisation, AI-enabled technologies, employment relations, job quality, equality and inclusion, or workforce recruitment and retention. You do not need to cover all these areas, but you should be curious about how technology, work and care intersect. You will also have experience of qualitative research, such as interviews, case studies, observation, documentary analysis, focus groups or stakeholder-based research. You will also be confident analysing qualitative data, including interpretive approaches and comparative within-case and cross-case analysis.

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