This post provides an excellent opportunity to work on a project which is related to computational analysis of the interaction of multiple vortex tubes rooted within intergranular lanes and investigate how they contribute to the middle and upper solar atmospheric dynamics. Plasma flows in the Sun’s photosphere have the potential to excite a wide range of magnetohydrodynamic (MHD) waves and may have a prominent role in both direct and alternating current models of solar atmospheric heating. These flows have traditionally been identified by intensity feature tracking, primarily by visual inspection. Within the project we will run a number of HPC MHD simulations with the implementation of 3D vortex tube drivers that will allow us to include the realistic physics of nonlinear magnetic flux tube interactions such as collisions, merging, twisting and braiding. Such HPC numerical modelling is now crucial to interpret contemporary solar observations since they have shown the lower atmosphere to be in such a highly dynamic and nonlinear state.
The following method(s) for analysis will be used: Proper Orthogonal decomposition (POD), Dynamic Mode Decomposition (DMD), Lagrangian-averaged vorticity deviation (LAVD/IVD), Machine Learning & Artificial Intelligence.
The successful candidate should have PhD degree (or be close to completion of a PhD) in applied (pure) mathematics, physics, control, computing science, or a related area (or equivalent experience).
The applicant will join an internationally-renowned research group in plasma physics (astrophysical and laboratory) and data analysis, and will contribute to the reputation of Automatic Control and Systems Engineering Department as the leading department in systems and control. You will work in close collaboration with Drs. Viktor Fedun (Automatic Control and Systems Engineering Department) and Gary Verth, Istvan Ballai and Rekha Jain (School of Mathematics and Statistics).
To apply, please, follow this link:
https://jobs.shef.ac.uk/sap/bc/webdynpro/sap/hrrcf_a_posting_apply?PARAM=cG9zdF9pbnN0X2d1aWQ9NjAzRjMwMzRCMEIzMUIzM0UxMDAwMDAwQUMxRTg4NzgmY2FuZF90eXBlPUVYVA%3d%3d&sap-client=400&sap-language=EN&sap-accessibility=X&sap-ep-themeroot=%2fSAP%2fPUBLIC%2fBC%2fUR%2fuos#
Alternatively, contact Dr Viktor Fedun (v.fedun@sheffield.ac.uk)