|UK Students, EU Students, International Students
|tuition fees + a living stipend
|7th November 2023
|15th January 2024
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. The project will be supervised by Dr Guy Davies.
The School of Physics and Astronomy is an Institute of Physics Juno Champion since 2014 and holder of the Athena SWAN Silver Award. Both initiatives recognise the School’s commitment to promote diversity and equality, and to encourage better practice for all members of the community, whilst also working towards developing an equitable working culture in which all students and staff can achieve their full potential. We welcome applications from all qualified applicants, and encourage applications from traditionally under-represented groups in physics and astronomy including, but not limited to, women and Black, Asian and Minority Ethnic.
Information about the Sun, Stars & Exoplanets research group in Birmingham can be found at www.birmingham.ac.uk/sasp/
Note that we do not accept CVs and applications sent directly to us by email. Apply online via the above ‘Apply’ button.
There are two types of scholarships available in Birmingham via STFC or through the College of Engineering and Physical Sciences. These are fully-funded scholarships for UK students (tuition fees + a living stipend), but we might be in a position to offer a fully funded international scholarship.
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