Research Associate

3 weeks ago


Lancaster, United Kingdom Lancaster University Full time

We are seeking a quantitative researcher with an interest in family/ criminal law/evaluation to join a trail-blazing project funded by the ESRC investigating the link between family drug and alcohol courts, ordinary care proceedings and crime. The post is available for 18 months (from April 2023 to September 2024). You will be based in the Law School at Lancaster University but work closely with a team comprising a data scientist, quantitative criminal researcher and family and criminal policy experts. The University of Central Lancashire and the Centre for Justice Innovation are partners to the project. You will be employed by Lancaster University Law School. The post-holder can work remotely from home within the UK (appropriate equipment will be provided) but must be willing to travel to Lancaster and research sites as well.

The project breaks new ground in the questions it seeks to address and in its methodology. It is the first time that research is exploring the impact of a pioneering type of family court, known as family drug and alcohol courts compared to ordinary care proceedings on crime and recidivism. It is also the first time that links are being made between FDACs, similar cases in ordinary care proceedings, and the Police National Computer (PNC) in order to create a brand-new longitudinal cohort. The project is being led by Professor Judith Harwin who will have overall responsibility for supervising the research associate, supported by Dr Bachar Alrouh (Lancaster University) and Dr Les Humphreys (University of Central Lancashire).

You must be able to demonstrate expertise in quantitative research. Ideally you will have a social science background relevant to the study or similar with data modelling skills. You must hold a Masters level qualification with suitable experience, although applicants may demonstrate qualification at doctoral level. Experience in using appropriate statistical software packages such as SPSS/STATA/R/Python is essential.

You must be able to work flexibly as part of an interdisciplinary team of academics and to work closely with data scientists and analysts and practitioners.

**interviews will be held the week beginning Monday May 15**th**.



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