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Job Record #15717
TitleParallel computation for fast multiresolution flood mapping
CategoryPhD Studentship
EmployerUniversity Of Sheffield - SHEFFIELD
LocationUnited Kingdom, South Yorkshire, Sheffield
InternationalYes, international applications are welcome
Closure DateMonday, July 01, 2019
Description:
Computer Science graduates or Civil Engineering graduates with strong 
computing background 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.

Contact Information:
Please mention the CFD Jobs Database, record #15717 when responding to this ad.
NameGeorges Kesserwani
Emailg.kesserwani@shef.ac.uk
Email ApplicationYes
Record Data:
Last Modified22:27:56, Tuesday, April 23, 2019

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