The Alan Turing Institute is seeking an early-career researcher with a background in social science and qualitative research to design and implement interview-based, participatory research with communities and stakeholders for a project investigating the design, use, and assessment of data, data sharing and AI tools for addressing modern slavery (and other vulnerable or marginalised populations) and considering other data and technology uses on racialised and marginalised communities. The post-holder will be responsible for designing and implementing community-engaged research. Responsibilities will include carrying out literature reviews, developing interview protocols, conducting interviews with individuals and groups, communicating findings to an interdisciplinary research team, and writing formal reports. The post-holder will work closely with a multi-disciplinary team of PIs and Co-Is from a range of disciplines – Statistics, Anthropology, Computer Science, Law, etc.

Candidates should have experience with qualitative methods and analyses regarding interviews, focus groups and survey techniques. The project utilises participatory methodologies and community engagement; experience with these approaches is highly desirable. We particularly encourage applications from those with research experience on themes of modern slavery, online exploitation, gender-based violence, and/or other hidden, racialised or marginalised communities. Candidates should bring a nuanced understanding of the distinctions between these themes and the wide range of perspectives and experiences represented within and among them. Candidates with experience working with with historically marginalised communities and/or on complex and sensitive social issues are encouraged to apply.

Duties and areas of responsibility

• Design, develop and undertake research methodologies including literature review, interview protocol, focus groups, surveys
• Assist in developing survey instrument, data labelling protocols and participate in training labellers
• Conduct, review and inform on participatory methods to address data justice issues
• Conduct stakeholder and community interviews, focus groups and surveys and desk-based research.
• Conduct different types of qualitative research and analysis
• Provide critical perspectives, identify issues and inform on mechanisms for data collection, sharing and use
• Collaborate with stakeholders and partners on research and identifying opportunities to take developed methods, frameworks and insights towards wider use.
• Assist in the organisation of and participate in regular meetings and special workshops with the research team, designated members of staff, collaborators amd stakeholders
• Write and publish articles in peer-reviewed journals/digests that highlight findings from research ensuring consistency with the highest standards of academic publication, and draft publications for other mediums such as blogs, briefs and explainers, showcasing the Institute’s research leadership
• Present methods and results at conferences and workshops, and communicate results to a diverse audience
• Make original contributions to the research project to the success of the research goals, objectives and activities

This full-time post is offered on a fixed term basis for 2 years.

Further details and an application form can be found here: https://cezanneondemand.intervieweb.it/turing/jobs/research-associate-participatory-ai--data-justice-26968/en/

Should you have any queries, please email recruitment@turing.ac.uk.

Closing date: Thursday 6th October 2022, 23:59.