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Research Associate (Social Network Analyst)

The University of Manchester - Sociology

Location: Manchester, Hybrid
Salary: £36,924 to £45,163 per annum, dependent on relevant experience
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 13th December 2024
Closes: 8th January 2025
Job Ref: HUM-027614
Job reference: HUM-027614
Salary: £36,924-£45,163 per annum, dependent on relevant experience
Faculty/Organisational Unit: Humanities
Location: Oxford Road
Employment type: Fixed Term
Division/Team: Sociology
Hours Per Week: Full Time (1 FTE)
Closing date (DD/MM/YYYY): 08/01/2025
Contract Duration: 18 months
School/Directorate: School of Social Sciences

The Mitchell Centre for Social Network Analysis has an exciting opportunity for a Social Network Analyst to join our research team.

We are seeking to appoint a Research Associate on a full-time appointment for 18 months to join the project “Gender inequalities: the role of social networks in gendered interactions and social structures” funded by ESRC responsive mode: secondary data analysis.

The main goal of this project is to identify the social network mechanisms linking gendered micro-interactions to the macro-inequalities that systematically frame opportunities and constraints for men and women.

Specifically, we aim to:

  • observe if gender impacts how people form, maintain and dissolve social networks in similar manners, and if so, if they obtain similar outcomes (popularity, status, power, economic returns, inclusion, but also social isolation and stigmatization).
  • explore if gendered social network formations and outcomes vary depending on the type of relationship, for example negative and ambivalent relationships.
  • determine if gendered network mechanisms and outcomes vary depending on the context in which they operate, i.e., national domains and social contexts – schools, organizations, etc. where gender cultures and policies may differ.

The project will capitalise on the large amount of data publicly accessible for which the information on social networks and the characteristics of individuals (i.e. gender) embedded in these networks is available. We want to focus on four research domains:

  1. Personal networks over the lifetime
  2. School networks
  3. Organizational networks
  4. Covert and Illicit networks

The Research Associate will have expertise in statistical analysis of social networks like multilevel analysis, Exponential Random Graph Models, Linear and logistic mixed effects regression models, Autologistic Actor Attribute Models, and will be able to conduct meta-analysis of their results to test if results distribute heterogeneously, i.e. in different countries, affluent vs deprived schools and neighbourhoods, or across different type of licit and illicit organizations.

The appointment will start on the 1st of April 2025 and the Research Associate will be based in the Department of Sociology.

What you will get in return:

  • Fantastic market leading Pension scheme
  • Excellent employee health and wellbeing services including an Employee Assistance Programme
  • Exceptional starting annual leave entitlement, plus bank holidays
  • Additional paid closure over the Christmas period
  • Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status.  All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.        

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies

Any CV’s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Dr Elisa Bellotti

Email: elisa.bellotti@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

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