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Job Record #15721
TitleModelling of multiphase flows based on machine learning
CategoryPhD Studentship
EmployerCardiff University, School of Engineering
LocationUnited Kingdom, Cardiff
InternationalYes, international applications are welcome
Closure DateFriday, April 19, 2019
Applications are invited for a 3.5 years fully-funded PhD studentships at 
Cardiff University. The studentship is open to UK and EU candidates. This 
studentship consists of full UK/EU tuition fees, as well as a Doctoral Stipend 
(£14,777 p.a. for 2018/19,updated each year) for eligible candidates. 

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 
6.	Optimisations 
7.	etc. 

Possible research topics in fluid phenomena: 
1.	Energy: primary atomization, energy mining, cooling system (boiling), 
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 
(C/C++, Python, etc.). Candidates from physics, mathematics, computer science 
as well as engineering are welcome. 

For further information, please see the following website:

If you have queries, please email .

Contact Information:
Please mention the CFD Jobs Database, record #15721 when responding to this ad.
NameKensuke Yokoi
Email ApplicationYes
Record Data:
Last Modified14:55:23, Tuesday, March 12, 2019

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