PhD Studentship: New Methods to Interpret Exoplanet Spectra Using Machine Learning

Updated: over 2 years ago
Location: Birmingham, ENGLAND
Job Type: FullTime
Deadline: 31 Jan 2022

Exoplanet spectra can be difficult to create, especially when accounting for the 3D shape of the planet. In turn, this makes it hard to adjust models of atmospheres to the data of exoplanet atmospheres. Machine Learning algorithm can be employed to great effect to interpolate. With this project, we will use machine learning to create finer, but accurate grid of exoplanetary spectra with the idea to adjust them to data in preparation for James Webb data.

Supervisor - Dr G. Davies  [email protected] and Prof. A. Triaud [email protected]

Research Group - Astrophysics

For information on how to apply, please visit our home page at the link below:

https://www.birmingham.ac.uk/research/activity/physics/astronomy/solar-and-stellar/phd.aspx



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