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Numerical modelling and analysis of multiphase flows based on machine learning

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  • Full or part time
    Dr K Yokoi
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

The project aims to develop numerical framework which can be applied to various multiphase flow problems (gas-liquid, gas-liquid-solid, etc.) in engineering and scientific research fields such as energy, environment and manufacturing. Although there are huge demands of practical multiphase flow simulations, there is no established numerical framework which can simulate a wide variety of practical multiphase flow problems.
The supervisor research team already has highly unique and world-leading numerical framework for multiphase flow simulations (see The PhD student can work based on the existing numerical framework, and is expected to improve/modify the numerical framework and numerically study multiphase flow phenomena. Recently we also focus on machine learning to improve numerical algorithms and to analyse fluid phenomena, etc. The PhD student can select some of the following topics.

Possible research topics in numerical modelling:
1. Machine learning to improve numerical algorithms, to analyse fluid phenomena, etc.
2. Turbulence multiphase flows
3. Interactions between multiphase flows and structures
4. Contact angle modelling
5. High performance computing (massively parallel computing, GPU computing)
6. Optimisations
7. etc.

Possible research topics in fluid phenomena:
1. Energy: primary atomization, energy mining, cooling system (boiling), etc.
2. Environment: CO2 capturing, rain drop formations, heat transfer across ocean surfaces, Tsunami/flood damage predictions, etc.
3. Manufacturing: inkjet, coating, spray cooling, robotics, etc.

There are many other possible topics.

The applicants should have a strong background in mathematics (undergraduate 1st and 2nd year engineering mathematics level) and computer programming. Candidates from physics, mathematics, computer science as well as engineering are welcome.


You should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK.

Applicants with a Lower Second Class degree will be considered if they also have a master’s degree. Applicants with a minimum Upper Second Class degree and significant relevant non-academic experience are encouraged to apply.

Funding Notes

Full awards, including the Tuition fee and maintenance stipend (Approx. £14,777 in 2018/19), are open to UK Nationals and EU students who can satisfy UK residency requirements. To be eligible for the full award, EU Nationals must have been in the UK for at least 3 years prior to the start of the course for which they are seeking funding, including for the purposes of full-time education.


Applications should be made online at:

Please note the following when completing your online application:

The Programme name is Doctor of Philosophy in Engineering with an October 2019 start date.

In the "Research proposal and Funding" section of your application, please specify the project title, supervisors of the project and copy the project description in the text box provided.

Please select “No, I am not self-funding my research” when asked whether you are self-funding your research.

Please quote “KY-DTP2-2019” when asked "Please provide the name of the funding you are applying for".

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