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Research Associate and PhD Studentship on ENFOLDing

Applications are now being invited for two positions on the ENFOLDing project, based within the Centre for Advanced Spatial Analysis at UCL: a Postdoctoral Research Associate within the Department of Security and Crime Science and a PhD Studentship within the Department of Mathematics.

Research Associate ENFOLDing project

Applications are invited for a full-time researcher to initiate and contribute to the delivery of a programme of high quality research into the use of applied mathematics in the study of issues of security (e.g. conflict, international crime) and related topics. The successful candidate will work on the ENFOLDing project, which is an interdisciplinary project funded by the Engineering and Physical Sciences Research Council (EPSRC). This will involve working alongside, and collaborating with, members from the Centre of Advanced Spatial Analysis, Geography, Transport Studies, Political Science, the Bartlett School, Mathematics and the Department of Security and Crime Science.

The post will be available from October 2011 and is funded for three years in the first instance.

Key Requirements

The successful candidate will have expertise in mathematical and/or statistical modelling and/or complex systems and the ability to develop models related to security and crime. A PhD in mathematics, political science, criminology, statistics, or a related area will be required along with excellent written and verbal communication skills, and programming experience in any of the programming languages C#, C++, Java, Stata, R or evidence of ability to learn new programming languages.

For more information, and to apply, go to: http://www.ucl.ac.uk/hr/jobs/

PhD Studentship ENFOLDing project

Applications are invited for a PhD studentship to work on an Engineering and Physical Sciences Research Council (EPSRC), UK-funded, interdisciplinary project that seeks to develop complex systems modelling. The project within ENFOLD involves working alongside members from the Centre of Advanced Spatial Analysis, Geography, Transport Studies, Political Science, the Bartlett School, Mathematics and the Department of Security and Crime Science.

Studentship Description

Traditionally, the science used to inform policy makers about future social and economic events has been based on models which treat global systems such as trade and migration in isolation. By ignoring the coupling and interaction between such systems, unexpected dynamics can occur which in turn limits the extent to which such models can be applied when influencing policy. The ENFOLD project aims to tackle this dilemma. By focusing on four key work streams – trade, migration, security (including crime, terrorism and conflict) and development aid – the dynamics of these interactions and couplings may be studied and modelled. A Global Intelligence System will incorporate these ideas, span many spatial and temporal scales and contain interacting reaction diffusion and network models, described in the conventional languages of complexity theory: chaos, bifurcations, turbulence, catastrophes, and phase transition. These dynamic and nonlinear models will be applied to and assessed against existing data, eventually informing global policy makers about future events and helping to develop appropriate policy responses.

Each of the four work streams has a small group of dedicated researchers. The role of the successful candidate on the fifth work stream – developing tools of complexity science – will be to work towards the development of new mathematical models, and the analysis of existing ones (for example cellular automata, agent-based modelling, reaction-diffusion and Lotka-Volterra models).

There will be opportunities for multi-disciplinary training of the doctoral candidate since the programme ENFOLDing is based on ten academic faculty at UCL spanning a wide range of centres and departments.

All the fees will be paid for only UK and EU nationals. The studentship lasting for three years will cover tuition fees at home rate plus standard living expenses. London allowance will apply.

Person Specification

Applicants should have a strong background in Mathematics or similar quantitative subject, usually with a First or Upper Second class honours degree, demonstrate good self-motivation, and be willing to work as part of an interdisciplinary team. It is beneficial if applicants have experience in numerical modelling and programming.

For more information, and to apply, go to: http://www.ucl.ac.uk/hr/jobs/

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