Research Associate - 77568

University of Strathclyde - Department of Mathematics and Statistics

FTE: 1.0
Term: Fixed 24 months
Closing Date: 31 August 2017

As a Research Associate, under the general guidance of Prof D J Higham you will contribute to the project “Inference, Computation and Numerics for Insights into Cities” ICONIC ; see

ICONIC aims to develop theory, methodology, and algorithms to propagate uncertainty in mathematical models of socio-economic phenomena in future cities. Funded by a 5-year, £3M EPSRC programme grant, this project is a collaboration between Imperial College, the University of Oxford, the University of Manchester, and the University of Strathclyde, as well as a number of project partners. ICONIC will bring together a research team with an appropriate combination of skills in modeling, numerical analysis, statistics and high performance computing.

To give a concrete target for impact, the ICONIC project will focus initially on uncertainty quantification for mathematical models relating to crime, security and resilience in urban environments. Then, acknowledging that urban analytics is a very fast-moving field where new technologies and data sources emerge rapidly, and exploiting the flexibility built into an EPSRC programme grant, we will apply the new tools to related city topics concerning human mobility, transport and infrastructure. In this way, the project will enhance the UK’s research capabilities in the fast-moving and globally significant Future Cities field.

For this position, which is based at the University of Strathclyde, the research associate will focus on the development and implementation of stochastic models for human behaviour in an urban setting, focusing initially on crime. To be considered for the role, you will be educated to a minimum of PhD level in an appropriate discipline, with experience in scientific computation, and skills in one or more of: stochastic modelling including stochastic differential equations , statistical inference, matrix computations, network science or data science.

As for all posts within the ICONIC project, a suitable candidate will be able to work independently but also be willing to collaborate across the project team, and this will involve travel between the four institutions. The research associate will also be involved in direct interaction with external, non-academic, partners, and with public engagement activities. Hence, excellent communication skills and an enthusiasm for outreach are required.

The successful candidate will also have the opportunity, but not the obligation, to co-supervise student projects, provide advice to students and contribute to teaching. Career development opportunities and training for outreach will be made available.

For informal enquiries, please contact Professor D J Higham at or on 0141 548 3716.

Interviews have been scheduled for 18 September 2017.

Click here for full details.

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