Back to search results

Research Fellow in Agent-based Modelling- 12832

Brunel University London

Location: Uxbridge
Salary: £35,365 to £41,775 per annum including London Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 18th January 2019
Closes: 28th February 2019
Job Ref: 376003

Salary (Grade): (R1) £35,365 to £41,775 per annum including London Allowance

Full-time, Fixed-term, 24 months

Applications are invited for a Research Fellow to work with Dr Derek Groen in the Computer Science Department at Brunel University London. The successful candidate will join a newly established research group on refugee modelling and high performance computing and will work, collaboratively, on designing and developing increasingly sophisticated agent-based models of refugees escaping violent events. The main purpose of these simulations is to help organizations such as governments, the UN and NGOs in allocating their humanitarian support as effectively as possible.

The work will be performed as part of the HiDALGO (HPC and Big Data Technologies for Global Systems) project, a €8M EU-funded Centre of Excellence which includes a range of high profile institutional partners across Europe, and through which we have established an informal collaboration with the UNHCR.

The postholder will primarily work on improving the accuracy and the robustness of the agent-based migration model, relying on the existing Python-based Flee code (a recent release is available here: http://www.github.com/djgroen/flee-release ) as well as a range of external models and data sources, such as food availability data, conflict data, weather simulations and telecommunications data. The primary challenge will be to increase the accuracy, robustness and complexity of the agent-based migration model, through introducing new rules and parameters, and by enhancing the code base. In addition, it is essential that the model characteristics are in line with the needs of key stakeholders in the project such as UNHCR and NGOs. The postholder will be expected to help disseminate new scientific findings and computational breakthroughs by preparing top journal publications, and contribute to other deliverables of the HiDALGO project.

The postholder will build up further expertise in constructing agent-based simulations, and will be able to leverage leading high performance computing facilities in Europe to make extensive studies possible. In addition, the postholder will help to coordinate development efforts by other partners (e.g. in terms of combining it with other models, visualizing key elements, and integrating it with data sources), and provide support with other activities in the HiDALGO project, such as organizing meetings with stakeholders and ensuring synergy with the work performed by other research fellows in our group.

Key Requirements:

The successful candidate will have a PhD degree in an appropriate discipline, and have a clear understanding of high performance computing and agent-based simulations, both in theory and in practice. In addition, they have experience in Python programming, and demonstrable experience with analyzing scientific data and constructing theoretical models.

Further details:

Please include a publication list along with CV.

Closing date for applications: 28 February 2019

For further details and to apply please visit https://careers.brunel.ac.uk

COMMITTED TO EQUAL OPPORTUNITIES AND REPRESENTING THE DIVERSITY OF THE COMMUNITY WE SERVE

   
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 
 
 
More jobs from Brunel University London

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge