The University of Leeds is inviting students from around the world for the Accelerating computational fluid dynamics through deep learning PhD scholarship.
In this project, students learn deep through determination neural networks to accelerate the fluid simulation by training the network to simulate the output of conventional CFD solvers.
Funding will be awarded on a competitive basis. A full standard studentship consists of academic fees (up to £22,750 in Session 2019/20), together with maintenance grant (up to £15,009 in Session 2019/20) paid at standard Research Council rates.
To be considered eligible;
- Candidates are expected to have a solid mathematical background, strong programming skills (in C++/Python/Matlab) and a keen interest in high-impact research work.
- Successful candidates will have an excellent first degree in Engineering, Mathematics, Computer Science, or a related discipline.
- These will be witnessed by the applicant’s academic transcript and/or GPA.
- Previous experience in a research environment and a corresponding track record of publishing results in excellent journals and conferences are valued, but not essential
- Worldwide (International, UK and EU) are eligible.
How to Apply
If English is not your first language, you must provide evidence that you meet the University’s minimum English Language requirements.
The application will close on August 1, 2019.