Research Assistant/Associate in Solar Physics and Space Science

October 25, 2019, from Viktor Fedun

Applications are invited for a Research Assistant/Associate to work on to contribute to development of numerical tool for analysis plasma flows observed in observational and synthetic solar data.

The post provides a rare opportunity to contribute to development of numerical tool for analysis plasma flows observed in observational and synthetic solar data. 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. These flows have traditionally been identified by intensity feature tracking, primarily by visual inspection. This post focuses on software development for automated coherent structure detection in the Sun’s atmosphere. The proposed tool for development will be used to identify the location and specific classes of velocity fields e.g., vortex, saddle point, shear flow etc. and will also be able to quantify the parameters that govern, e.g., the observed radial dependence of the velocity as function of distance from sources and sinks.

The following method(s) for analysis will be used: Proper Orthogonal decomposition (POD), Dynamic Mode Decomposition (DMD), Lagrangian-averaged vorticity deviation (LAVD), Machine Learning & Artificial Intelligence.

The successful candidate should have Masters or PhD degree in any relevant area of applied (pure) mathematics, physics, control, computing science.

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, the University of Sheffield, UK as the leading department in systems and control (Rank 1st in REF 2014 for Research Output).

The post is suitable for either a Research Assistant (Grade 6) or Research Associate (Grade 7) depending on the successful applicant’s skills, experience and qualifications. Candidates appointed at Grade 7 must have a PhD (or be close to completion) and have research experience in solar data processing.

To apply, please, follow this link:
https://jobs.shef.ac.uk/sap/bc/webdynpro/sap/hrrcf_a_posting_apply?PARAM=cG9zdF9pbnN0X2d1aWQ9Mzc1MDlCNkFBMDJFMUVFOUJEOTQ0MDMyQzUxNDhDODEmY2FuZF90eXBlPUVYVA%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) and Dr Gary Verth (g.verth@sheffield.ac.uk).

https://jobs.shef.ac.uk/sap/bc/webdynpro/sap/hrrcf_a_posting_apply?PARAM=cG9zdF9pbnN0X2d1aWQ9Mzc1MDlCNkFBMDJFMUVFOUJEOTQ0MDMyQzUxNDhDODEmY2FuZF90eXBlPUVYVA%3d%3d&sap-client=400&sap-language=EN&sap-accessibility=X&sap-ep-themeroot=%2fSAP%2fPUBLIC%2fBC%2fUR%2fuos#


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