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Research Fellow in Migration Modelling and Optimisation - 14238

Brunel University London - Department of Computer Science

Location: Uxbridge
Salary: £34,304 to £40,927 per annum plus £2,166 per annum London Weighting (Grade R1)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 4th October 2021
Closes: 29th October 2021
Job Ref: 460704

Full-time, fixed term for 19 months (project ends 31 August 2023)

Applications are invited for a Research Fellow to work within the Computer Science Department at Brunel University London.

The successful candidate will join a newly established research group and will work, collaboratively, on establishing new coupled simulation approaches, with applications to conflict forecasting, human migration and local pandemic modelling. The candidate will also look after the collaborative data repository of the group.

The work will be performed as part of the ITFLOWS (IT tools and methods for managing migration flows) project, a €5M EU-funded research project which includes a range of high-profile institutional partners across Europe.

The primary objective of this post will be to use and extend the Flee agent-based modelling code to establish models that predict migration flows to adjacent countries in a range of conflict environments. In doing so, the postholder will also be expected to use multi- or many-objective optimisation techniques to provide support in policy-making.

The postholder will be expected to help disseminate new scientific findings and computational breakthroughs by assisting in the preparation of top journal publications, and contribute to other deliverables of the ITFLOWS project.

The postholder will build up expertise in migration simulations and model optimisation and validation, and be linked up with collaborators across Europe in both consortia. The postholder will also be organizing meetings with stakeholders and ensuring synergy with the work performed by other research fellows in our group.

The successful candidate will have a PhD degree in an appropriate discipline, with experience evidenced on migration simulations, and a familiarity with scientific simulations in general, both in theory and in practice. In addition, they have substantial experience in Python programming, and demonstrable experience with developing scientific codes as well as with writing academic publications. 

Closing date for applications: Friday 29th October 2021

For further details and to apply please visit


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