The candidate needs to have a strong background in astro/physics, and preferably have a good understanding about one or more of the following subfields: asteroseismology, stellar evolution, and the evolution of the Milky Way. Further, the candidate should have strong computer programming skills and analytical skills with experience in writing their own analysis software to analyse large complex datasets.
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This project will fuse two rapidly developing fields, artificial intelligence (AI) and stellar astrophysics. Astrophysical data analysis still relies on significant manual expert interaction. This will soon be inadequate to cope with the vast data flow from NASA/ESA space missions starting late 2018 and into the next decade. The project will take advantage of recent dramatic progress in computer science to develop AI-algorithms that will increase our capability to analyse and interpret astrophysical data. This will likely lead to breakthrough science results, using methods that can help power other aspects of society including image recognition and smart data mining.
Computer Science and Engineering