Research Fellow in Quantitative Research
University of Leeds
Leeds, United Kingdom
ID: 7126859 (Ref.No. LUBSC1676)
Posted: March 1, 2023
Are you an ambitious researcher looking for your next challenge? Do you have a background in quantitative research? Do you want to further your career in one of the UK’s leading research intensive Universities?
You will join a team of experienced researchers at the University of Leeds working on a National Highways (NH) funded project titled ‘Improving performance through diversity and inclusion’. The construction industry is facing workforce and demographic challenges, which are impacting productivity. The industry is buoyant with many major infrastructure initiatives ongoing but its workforce is shrinking due to an aging, predominantly male population and a lack of new recruits. National Highways hopes to promote change in their workforce through more advanced Equality, Diversity and Inclusion (EDI) initiatives with the aim of attracting new and younger workers to the industry and retain more of those who leave, notably women and minorities. While research has yielded mixed results regarding the link between EDI and performance, the goal of this project is to provide empirical evidence that bolsters the economic and business case for EDI.
Your main task will be to analyse quantitative data to establish a causal effect of EDI on performance. The primary statistical analysis will be based on longitudinal administrative data. You will also contribute to the design and analysis of original survey data. You will work in close collaboration with Professor Jennifer Tomlinson (https://business.leeds.ac.uk/research-ceric/staff/543/professor-jennifer-tomlinson) and Dr Danat Valizade (https://business.leeds.ac.uk/departments-work-employment-relations/staff/546/dr-danat-valizade) at the Work and Employment Relations Department.
You will have, or be close to obtaining, a PhD in work and employment relations or related disciplines (human resource management, sociology of work) and have expertise in advanced quantitative analysis.
To explore the post further or for any queries you may have, please contact:
Dr Danat Valizade, email: [email protected]
Professor Jennifer Tomlinson, email: [email protected]
|Location:||Leeds - Main Campus|
|Faculty/Service:||Faculty of Business|
|School/Institute:||Leeds University Business School|
|Salary:||£35,333 to £42,155 p.a.|
|Post Type:||Full Time|
|Contract Type:||Fixed Term (Fixed term from 1 May 2023 to 31 October 2024)|
|Release Date:||Tuesday 28 February 2023|
|Closing Date:||Monday 27 March 2023|
The University community is made up of a wide range of people with diverse backgrounds and circumstances, which we value and regard as a great asset. As part of our continued commitment to equality and inclusion, we strive to create an environment where everyone can reach their full potential and have a real opportunity to participate in and contribute to our activities.