|Funding for:||UK Students, EU Students|
|Funding amount:||EPSRC Programme Grant|
|Placed On:||15th June 2022|
|Closes:||30th August 2022|
Funding is available to fully support a PhD research student (including university tuition fees and salary tax free). The candidate must be a UK citizen and should have at least a strong upper second-class (2.1) degree in Chemical Engineering or related discipline.
The project provides a unique opportunity to train a student in advanced research techniques and equip him/her with a wide range of skills that will enhance his/her employability by a wide spectrum of industries including food, pharmaceuticals, biotechnology, energy, environmental, minerals, biomedical etc. Enquiries about the research project should be addressed to Professor M. Barigou (firstname.lastname@example.org). We have a large multi-disciplinary EPSRC research programme grant to conduct research on multiscale two-phase particle-liquid flows in various flow systems (e.g. pipes, pipe networks, stirred vessels, microchannels). The work includes collaboration with other universities and there is possibility for industrial collaboration: https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/R045046/1.
A PhD project is available as part of this multidisciplinary EPSRC Programme Grant, which will provide a unique opportunity for the student to work alongside and interact with a number of world-leading academics and experienced postdoctoral research fellows. The movement of particle-liquid suspensions in pipes and vessels of various scales is a generic complex problem. Industries dependent on particle-liquid flow are numerous including chemicals, consumer goods, food, pharmaceuticals, oil, mining, river engineering, construction, power generation, biotechnology and biomedical.
The work will address computational modelling aspects of the project in collaboration with the other partners, which may include numerical simulations (e.g. CFD, SPH, DEM, Matlab) depending on the candidate’s background and interests. Model testing and validation will use unique experimental data from the technique of Lagrangian Positron Emission Particle Tracking (PEPT) as well as other advanced Eulerian optical laser flow imaging techniques, e.g. particle imaging velocimetry (PIV), ERT. The project is suitable for a student with keen interest in computational work and modelling techniques.
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