- Value: This project is open to self-funded students and UK/EU students are eligible for funding from the STFC Doctoral Training Partnerships.
- Number of awards: 1
- Deadline: Applications accepted all year round
Contact Professor S.M. Tobias to discuss this project further informally.
This project is to implement the new technique of Direct Statistical Simulation for a range of Astrophysical and Geophysical Flows. Complicated fluid dynamical processes are often investigated using Direct Numerical Simulation of the underlying partial differential equations of fluid mechanics. Many techniques are available for solving for the dynamics of such systems efficiently. However, these techniques are often prohibitively expensive for calculating statistics, which are usually the objects of interest in geophysics and astrophysics.
In this project, we shall develop and utilise the new technique of Direct Statistical Simulation (DSS) where the statistics of the flow are solved for directly using cumulant hierarchies.
This novel technique has proven to be extremely efficient for problems with non-trivial mean behaviour and non-local interactions. However, there is much to understand about this procedure, which makes it an ideal topic for a PhD. As this technique is extremely general it can be applied to many problems of geophysical and astrophysical interest such as the formation of jets in planets and the oceans, differential rotation in stars, instabilities in stellar and planetary interiors and atmospheres and the dynamics of accretion disks and astrophysical dynamos.
This research is to be carried out in the Astrophysical and Geophysical Fluid Dynamics research group, which is one of the largest such research groups in the world
Applicants should have or expect to obtain, a minimum of a UK upper second class honours degree in Mathematics or a related discipline, or equivalent.
If English is not your first language, you must provide evidence that you meet the University's minimum English Language requirements.
How to apply
Formal applications for research degree study should be made online through the university's website. Please state clearly in the research information section that the PhD you wish to be considered for is 'Direct Statistical Simulation of Mulitscale Fluids' as well as Professor S.M.Tobias as your proposed supervisor.
We welcome scholarship applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.
If you require any further information please contact the Graduate School Office, e: firstname.lastname@example.org