Applications are invited for a Research Assistant/Associate to work on theoretical and computational analysis of MHD waves generation by vortical drivers, the interaction of multiple vortex tubes located within intergranular lanes and how they contribute to the middle and upper solar atmosphere dynamics. Plasma flows in the Sun’s photosphere have the potential to excite a wide range of magnetohydrodynamic waves and may have a prominent role in both direct and alternating current models of solar atmospheric heating.
The following method(s) for analysis will be used: HPC numerical modelling, Proper Orthogonal decomposition (POD), Dynamic Mode Decomposition (DMD), Lagrangian-averaged vorticity deviation (LAVD), Machine Learning & Artificial Intelligence.
You will be expected to have a good honours degree in a scientific or engineering discipline and be capable of producing high quality research. You should have significant knowledge and experience of solar data processing and will be able to develop software (and adapt available software) to support the research.
If appointed as a Research Associate you must also have a PhD (or be close to completion) and have research experience in solar data processing, as well as evidence of submissions to high quality peer reviewed journals. You should have significant knowledge and experience of solar data processing and will be able to develop software (and adapt available software) to support the research.
The University of Sheffield is one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
For more details, please, contact Viktor Fedun (v.fedun@sheffield.ac.uk)