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University Academic Fellow in Quantitative Policing and Crime Data Analytics

Are you an experienced researcher with proven abilities to carry out research and teaching in quantitative criminology and research methods? Are you passionate about delivering an exceptional student experience in a research-intensive University with state of the art facilities? Do you aspire to become an academic leader in your field?

With a vision and drive to develop a prestigious internationally competitive research portfolio as well as a passion for undertaking research-led teaching you will make a significant impact on the performance, stature and profile of research and student education at The University of Leeds. This University Academic Fellowship (UAF) is a tenure track equivalent post for future academic leaders which provides an excellent opportunity to establish an academic career at a research intensive University and play a key role in our ambitious plans for the future. You will embark on a structured five year development programme, successful completion of which will lead to your appointment as a grade 9 Associate Professor.

You will develop your own programme of research that complements and builds upon the work of the N8 Policing Research Partnership (N8 PRP) led by Professor Adam Crawford. Your research programme will explore ways of exploiting and analysing various forms of crime and policing data that add value to the work of the Data Analytic activity strand of the N8 PRP.

This is an excellent opportunity for a scholar with quantitative analytic skills to utilise the opportunities for accessing policing and crime data sets presented by the policing partnership to develop new lines of enquiry and progress a curiosity-driven and public policy-relevant programme of research. You will share a commitment to the values and principles of research co-production, as well as seeking to foster knowledge exchange in the context of policing and the translation of research into societal impacts.


The N8 PRP is a major collaboration between the eight research intensive universities in the north of England and policing partners, including 11 police forces and Police and Crime Commissioners. It has secured significant funds – including a HEFCE Catalyst Grant - to enable and foster research co-production and knowledge exchange that will help address the problems of policing in the 21st century and achieve international excellence in policing research. By harnessing the skills, capabilities and resources across the North of England the programme of research-related activities is delivering at a scale with real impact by fostering cross-force collaborations.

You will be based in the Centre for Criminal Justice Studies, School of Law, and will work closely the Director, Professor Adam Crawford, and other members of N8 PRP team at Leeds - notably colleagues delivering the Data Analytics activity strand – and across the N8 research partnership and policing partners. You will also have opportunities to connect and collaborate with and benefit from the significant investment in data analytics capacity around the Leeds Institute for Data Analytics (LIDA).

You will be skilled in statistical methods and quantitative criminological analysis, with experience and understanding of the analysis of crime/police data and social science informatics (e.g. GIS, network analysis). You will also have experience of working collaboratively on complex research projects and a promising publication profile.

To explore the post further or for any queries you may have, please contact:

Professor Adam Crawford, Professor 

Tel:  +44 (0)113 343 5045, email: a.crawford@leeds.ac.uk

or Stephanie Abraham, Project Manager

Tel: +44 (0)113 343 9622, email: S.Abraham@leeds.ac.uk

Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Education, Social Sciences & Law
School/Institute:  School of Law
Category:  Academic
Grade:  Grade 8
Salary:  £39,324 to £46,924 p.a.
Successful completion of a 5-year probationary period leading to confirmation as grade 9 Associate Professor.
Post Type:  Full Time
Closing Date:  Wednesday 30 August 2017
Reference:  ESLLW1077
Downloads:  Candidate Brief  
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