Postdoctoral Research Associate in Sociology
- Employer
- Durham University
- Location
- United Kingdom
- Salary
- Salary Not specified
- Date posted
- Aug 4, 2022
View more
- Position Type
- Faculty Positions, Social & Behavioral Sciences, Sociology
- Employment Level
- Post-Doc
- Employment Type
- Full Time
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The Department The Department of Sociology was established in 1964
initially as a Department of Social Theory and Institutions. The
Department delivers undergraduate and postgraduate programmes in
Sociology, Criminology and Social Work and supports the delivery of
a faculty research methods programme as part of the collaborative
NINEDTP. The Department's research strategy is built around four
themes: Communities and Social Justice, Health and Social Theory,
Higher Education and Social Inequality, and Violence and Abuse. The
Role Applications are invited for a Postdoctoral Research Associate
in computational social science. This position requires strong
programming and quantitative skills with an interest in social
science. The successful applicant will be working in a small team
funded by the MRC to develop algorithms to generate synthetic
social networks for simulation projects. The principal investigator
for the project is
Simulations have been used
throughout the COVID-19 epidemic to adjust social distancing
measures in a careful balance between hospital capacity and the
economic impact of restricting activities. Simulations are able to
guide policy because they can combine theoretical processes with
current data to construct justified stories about plausible
futures.
Big data initiatives have made it
relatively straightforward to include schools, transport and other
infrastructure into these simulations. Similarly, census data can
be used to construct synthetic households with simulated people who
go to work or school or leisure activities. What is missing,
however, is similar resolution data about social networks. This
project will develop methods to build synthetic social networks
that reproduce structural properties that we know are important in
real social networks, like mutual friends.
The successful applicant will be
expected to: conceive, design and implement network modelling
algorithms under supervision; collaborate effectively with other
researchers on the project and more broadly; communicate research
findings to other researchers, through conference and journal
publications.
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