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  Crime Analysis and Predictive Policing


   Cardiff School of Mathematics

This project is no longer listed on FindAPhD.com and may not be available.

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  Prof A Balinsky  No more applications being accepted  Competition Funded PhD Project (European/UK Students Only)

About the Project

Technological innovations have revolutionised the process of scientific research and knowledge discovery. The aim of this EPSRC CASE project is to develop new algorithms, techniques and methods and apply them for crime modelling, prevention and reduction.

Currently police is under pressure to do better crime prediction and prevention. This is why developing computer models to assign probabilities of crime in space and time and finding focal points for most effective use of police resources are very important scientific and practical problems. Application of such models will include:

•Neighbourhood policing.
•Military intelligence and policing.
•Possible emergency management and public health applications.
This prestigious 3.5 year studentship is part of collaboration between the Cardiff School of Mathematics, Hewlett-Packard Laboratories and Dyfed Powys Police. This PhD is ideal for a highly motivated student who is looking to apply their computational and analytical skills to questions within Data Mining and Industry Applications.

The project is jointly supervised by an international team located Cardiff and Bristol (UK) and Ft. Collins, Colorado, USA. During the project, we will have joint meetings every three months in Cardiff University, in Dyfed Powys Police and in Hewlett-Packard Laboratories, Bristol, to report on progress and current activities. The student will also spend at least four days every month at the Hewlett-Packard site and at Dyfed Powys Police to collaborate with researchers and detectives.


Funding Notes

Due to funding restrictions this studentship, which is very generously funded by Hewlett-Packard Laboratories, Dyfed Powys Police and EPSRC CASE from Cardiff University, consists of full UK/EU tuition fees, as well as a Doctoral Stipend matching UK Research Council National Minimum (£13,863 p.a. for 2014/15, updated each year).


References

Candidates should:
•either have a first honours degree in mathematics or computer science;
•or have a Masters qualification with distinction in a relevant discipline.
Ideally the candidate should have excellent mathematical and computing skills and programming skills or experience in the languages such as Python, Java or C/C++ or optionally Matlab, Octave, and R.

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