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  Diversity and Inequalities in Ethnicity and Religion in the UK, 2001-2022


   School of Natural and Built Environment

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  Prof G Catney  No more applications being accepted  Funded PhD Project (UK Students Only)

About the Project

This exciting PhD opportunity is a collaborative studentship between Queen's University Belfast and the Office for National Statistics. You will be supervised by Dr Gemma Catney (QUB) and Sarah Wood (Ethnicity, National Identity, Language and Religion Topic Lead, Office for National Statistics). The publication of 2021/22 Census data represents a unique and important opportunity for research that seeks to understand societal change at the local level. This project aims to provide timely and impactful evidence on the ways in which ethnic and religious diversity has grown and been shaped, and the nature of the differing – and persistently unequal – neighbourhood experiences of people from different ethnic and religious backgrounds, responding to pressing policy, political and public concerns, and scholarly questions in need of urgent attention. In what ways are neighbourhoods becoming more ethnically and religiously diverse? Have ethnic and religious inequalities widened, and what is the geography of disadvantage? How do experiences of neighbourhood deprivation vary between ethnic and religious groups?

Working closely with the Office for National Statistics throughout their Census 2021 analysis phases, the student will co-produce a series of topic analyses, data visualisations, and other outputs. The student will develop and employ multiple advanced quantitative methodological approaches to exploit small area Census data for ethnic groups (19, including White British, Black African, Chinese, Bangladeshi) and religious groups (8, including Christian, Muslim, Jewish). The project will concentrate on England and Wales, expanding to a UK-wide component. 

For further information on the wider project and the team the successful candidate will join, see https://gedi.ac.uk/

ELIGIBILITY

Applications are welcome from UK candidates holding a first class or second class honours (upper) degree in (Geography, Demography or Sociology) or other relevant disciplines such as (Computer/Data Science).

SECURITY REQUIREMENTS

Successful candidates must pass a disclosure and barring security check. 

Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check: https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant 

See ONS vetting charter: https://www.gov.uk/government/publications/vetting-explained-and-our-vetting-charter/the-vetting-charter

People working with government assets must complete basic personnel security standard checks: https://www.gov.uk/government/publications/government-baseline-personnel-security-standard

APPLICATION PROCEDURE

  • Apply for Degree of Doctor of Philosophy in 'Geography' at School of Natural and Built Environment.
  • State name of lead supervisor on application form (Prof Gemma Catney).
  • Please note that applicants are not required to upload a research proposal as part of the application. Instead, interested candidates are requested to upload a copy of their CV and a covering letter outlining their motivation to undertake a PhD on this theme, and describing any relevant experience in: research in Population Geography and/or allied disciplines; the specific research areas of the project (ethnicity, religion); working with large datasets (particularly outlining any experience in handling population data); programming (R/Python, etc).
  • State the intended SOURCE OF FUNDING on your application as 'DfE'
  • To apply, visit https://dap.qub.ac.uk/portal/user/u_login.php (QUB Application Portal)

Computer Science (8) Geography (17) Mathematics (25) Sociology (32) Theology & Religious Studies (34)

Funding Notes

The value of an award includes the cost of approved UK fees as well as maintenance support (stipend). As an indicator, the level for 2022/2023 is £17,668. Also includes additional (limited) financial contribution towards travel, accommodation, and subsistence costs for two research visits to the Office for National Statistics Newport office, to gain experience in the EILR office and also the data science campus.
The application deadline has been extended until 29 September and the start date for this studentship will be October/November 2023.

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