Advances in the machine learning of many-body interactions

Summary

The Atomic Cluster Expansion (ACE) is a powerful framework used to learn the properties of many-body systems in physics at the atomic and molecular level.

This project would focus on developing and improving ACE framework machine learning models to predict and analyse complex interactions arising in physical, chemical or biological systems, according to individual student interest.

The ideal candidate will have a strong background in programming or scientific computing / applied mathematics. Individual projects can be focused on software or mathematical study or both.

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

The minimum English language entry requirement for research postgraduate research study in the School of Computer Science is an IELTS of 6.5 overall with at least 6.5 in writing and at least 6.0 in reading, listening and speaking or equivalent. The test must be dated within two years of the start date of the course in order to be valid.