Research Associate in Criminology - Cambridge, Cambridgeshire, United Kingdom - Economicsnetwork

Description

An exciting opportunity has arisen for aPost-Doc Research Associate to work alongside Dr Paolo Campana in the Institute of Criminology on a new research project.

This project requires a dedicated Research Associate to play a key role in building networks from large-scale datasets, testing hypotheses and carrying out quantitative analysis.

Research Associate in Modelling Network Data (ESRC)
Project - A Relational Approach to Serious Violence and Co-Offending funded by the ESRC

The overall research aim is to enhance our understanding of the role of networks in the emergence and continuity of violence.

The project will leverage large-scale police records to reconstruct networks of cooperation and violence victimisation and identify mechanisms underpinning both phenomena.

Fixed term:
the funds for this post are available for 15 months in the first instance.

As a Research Associate working on this project, you would independently carry out quantitative network modelling on large-scale datasets.

Strong quantitative skills in network analysis are therefore an essential requirement.

To excel in this position, you will have strong programming skills, advanced network modelling expertise, and a strong background in quantitative/computational methods.

Applicants must have (or be about to obtain) a PhD in Social Sciences with a strong quantitative component, or in the border Network Science field including Computer Science, Physics and Public Health (specific requirements are detailed in the Further Particulars).

Appointment at Research Associate level is dependent on having a PhD.

Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Research Assistant:
£29,605 - £33,966

Research Associate:
£36,024 - £44,263

Please ensure that you upload your Curriculum Vitae (CV), a covering letter and a sample of a recent paper, working paper or unpublished chapter of your choice that showcases your quantitative expertise in the upload section of the online application.

T o apply online for this vacancy and to view further information about the role, please click on the Apply button above.

Interviews will be held on Thursday 6th June, either in person or online. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.