Research Assistant in Quantitative Social Research

University of Oxford
October 24, 2024
Contact:N/A
Offerd Salary:Negotiation
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Working address:N/A
Contract Type:Other
Working Time:Part time
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Research Assistant in Quantitative Social Research

Barnett House, 32 Wellington Square, Oxford OX1 2ER

About the role

The Department of Social Policy and Intervention wishes to appoint a part-time Research Assistant to work on a project “Demographic Change and Intergenerational Persistence in Homeownership in Europe” co-led by PI Dr. Selçuk Bedük. This is a good opportunity for a UK PhD student to gain more experience in research and possibly contribute to publications in the area of homeownership and intergenerational transmission of advantage.

The Research Assistant will take comprehensive and systematic literature reviews, prepare and analyse long-term longitudinal data from the UK and Europe, and contribute to writing research notes and papers.

About you

You are working toward a doctorate in a social science discipline (or a relevant data science field), have interest and research in the field of housing/wealth and experience in data management and analysis using panel data. Experience in contributing to research publications and working in a research team or project would be advantageous.

This is a part-time (30% FTE, 12 hours per week) fixed-term post for 12 months.

The Department of Social Policy and Intervention holds a Bronze Athena Swan Award which demonstrates our commitment towards advancement of gender equality in higher education and research institutions: equal opportunities, representation and success for all.

How to apply

As part of your application you will be required to upload a CV and one-page supporting statement, along with the name and contact details of two referees. The supporting statement should explain how you meet the essential and desirable criteria for the post using clear examples. Further information, including how to apply, is available via the ' ' button above. Any further enquires may be directed to the email address below.

Only online applications received by 12.00 noon on 24 October 2024 will be considered. Interviews will be held in early November 2024.

Contact Person : HR Team Vacancy ID : 173675 Contact Phone : Closing Date & Time : 24-Oct-2024 12:00 Pay Scale : STANDARD GRADE 6 Contact Email : [email protected]

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