Felix Mocanu (Chemistry, joint with Prof. Elliott)
Verena Neufeld (joint with Profs. Cebon and Deshpande)
The group is open to enthusiastic graduates. Some guidelines about successful applicants:
You must have some scientific programming experience in C/C++, Fortran or Python. If you took several courses in computing as an undergraduate and have used it in some summer research or internship since, that is often good enough.
Your undergraduate degree must have included courses about the molecular or atomic scale of matter (e.g. statistical mechanics, or solid state physics) or on materials engineering.
Being a successful graduate student takes much more than just being in the lab from 9 to 5 every weekday. You must have a high level of dedication stemming from inherent curiosity that drives you.
How to apply
There are two routes:
You can apply to the Engineering Laboratory directly for a 3-year doctoral programme. The funding stream here is restricted to those with UK citizenship or, alternatively, EU citizenship and at least 3 years of residency in the UK.
You apply through the EPSRC Centre for Doctoral Training for Computational Methods for Materials Science, which is a 4-year multi-department programme. It's first year, run from the Cavendish Laboratory (physics department), includes a significant taught component, comprising courses in scientific computing and computational materials science. The funding stream here is more flexible, but the deadlines and application procedures are more rigid.