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CFD Jobs Database - Job Record #19308

Job Record #19308
TitlePhD Studentship in AI for fluids
CategoryJob in Academia
EmployerUniversity of Exeter
LocationUnited Kingdom, Devon, Exeter
InternationalYes, international applications are welcome
Closure DateMonday, August 19, 2024
Description:
Project Description

This interdisciplinary PhD project will leverage state-of-the-art data-driven 
methodologies to enhance the simulation and understanding of complex fluid 
dynamics, with a particular focus on multi-phase flow and GPU-based computation. 
The successful candidate will work on integrating machine learning algorithms 
with existing CFD methods to improve both accuracy and computational efficiency 
in fluid mechanics simulations. This will include developing and implementing 
advanced techniques to simulate multi-phase flows and utilizing GPU-based 
computation to significantly accelerate simulation processes. The project 
provides an excellent opportunity for collaboration with leading academics and 
industry experts, offering a unique platform to contribute to cutting-edge 
research in fluid dynamics and computational engineering.


Responsibilities
- Develop and implement machine learning models (with Python) for enhancing 
fluid mechanics simulations.
- Analyze large datasets and conduct extensive simulations.
- Collaborate with team members from the University of Exeter and external 
partners.
- Publish and present research findings in reputable journals and at 
international conferences.


Funding
This studentship is fully funded for three years and includes tuition fees at 
the UK rate and an annual stipend of £19,237.


Eligibility
- Applicants must hold a first or upper second-class honours degree (or 
equivalent) in Engineering, Computer Science, Mathematics, Physics, or a closely 
related field.
- Strong mathematical skills and proficiency in programming (specially Python, 
HPC) are required.
- Experience in computational fluid dynamics (CFD), machine learning, or both, 
is highly advantageous.

Entry requirements
Applicants for this studentship must have obtained, or be about to obtain, a 
First or Upper Second Class UK Honours degree, or the equivalent qualifications 
gained outside the UK, in an appropriate area of science or technology.  

If English is not your first language you will need to meet the required level 
as per our guidance at https://www.exeter.ac.uk/pg-research/apply/english/

Details and application via: https://www.exeter.ac.uk/study/funding/award/?
id=5199
Contact Information:
Please mention the CFD Jobs Database, record #19308 when responding to this ad.
NameDr. Xu Chu
Emailx.chu@exeter.ac.uk
Email ApplicationYes
URLhttp://https://www.exeter.ac.uk/study/funding/award/?id=5199
Record Data:
Last Modified14:31:41, Thursday, August 01, 2024

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