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Parallel computation for fast multiresolution flood mapping

  • Full or part time
  • Application Deadline
    Monday, July 01, 2019
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Computer Science graduates are invited to apply for this fully-funded 3.5 year PhD studentship in the Department of Civil and Structural Engineering. It aims to deliver a parallel computation of an existing flood simulator under development within the SEAMLESS-WAVE project. This is an exciting opportunity for you to apply and develop your skills, as well as learn new skills given the interdisciplinary nature of the project. There is also a dedicated budget for the PhD student to annually: carry out placements for interacting with hydraulic software developers, participle in academic conferences, and take any specialised training required.

Project description
Many flood models are now operational on parallel computers to afford rapid simulations over large domains [1]. Most parallel flood models use meshes with a single resolution, with advances somewhat made in relation to domain decomposition techniques, data distribution between processors, and handling of moving wet-dry zones, etc. [2,3,4]. This PhD aims to re-explore these classical aspects, but in the new context of multiresolution meshes; for example on a mesh where resolution can vary from meters to kilometers.

This PhD studentship is also a unique opportunity to become be part of the SEAMLESS-WAVE project, where the postholder will benefit from close support of the project’s team. Phase 1 of the project will include efficiency analysis of our existing flood models in preparation for parallelisation. Phase 2 will be mainly dedicated to develop and test a parallelised version, possibly on GPUs with C++ scripting. Phase 3 will be focussed on validation over large-scale real-study sites.


The Candidate
Suitable for candidates holding or anticipating award of a Distinction/Merit MSc, or 1st/2.1 undergraduate degree in computer sciences discipline. The suitable candidate is also expected to have a good mathematical background, to be able to work in a team of mathematicians and Engineers. The successful candidate must start by February 2020.



Funding Notes

UK/resident EU applicants: Fully funded PhD plus maintenance award (£14,553 pa in 2017/18) for three and a half years.
EU applicants: Non-resident EU students eligible for fees only award.

How good is research at University of Sheffield in Civil and Construction Engineering?

FTE Category A staff submitted: 34.80

Research output data provided by the Research Excellence Framework (REF)

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