Science and our quest to understand and explain the Universe around us requires interpretability in our models. Many models and especially machine learning models can appear to be a 'black box' that produces answers without understanding. But there are classes of machine learning models and applications of machine learning where interpretability can be featured in the model. Especially useful for understanding and interpretability are many types of generative models. In this PhD project, the researcher will learn different approaches to machine learning that include generative models and apply these models to problems in exoplanetary science, stellar astrophysics, and galactic evolution.
More information about the research group and other available projects can be found here: https://www.birmingham.ac.uk/sasp
Apply through the University of Birmingham's PhD portal using this link: https://sits.bham.ac.uk/lpages/EPS005.htm