PhD Projects
This Doctoral Network will provide its Doctoral Candidates with a rigorous training in solving complex problems characterised by many degrees of freedom and intrinsic noise, all of which arise in the context of biological systems and are key to functions as movement, growth and regulation. Each Doctoral Candidate will pursue research within one of the PhD Research Projects described below, utilising techniques from statistical and condensed matter physics to discover how collective phenomena emerge in biological systems from interactions between their component parts.
A distinctive feature of this Doctoral Network is that a novel combination of modelling and analysis techniques, which traditionally have each been applied in a specific problem domain, lies at the heart of each PhD research project. For this reason, Doctoral Candidates will each have two supervisors, one at the primary host institution (indicated in the panels below), and another at a second institution in the network, with a period of research at the second institution, fully funded by the programme, designed into the research projects. Some projects additionally feature secondments with our non-academic partners.
Full details of project goals, methodologies, hosting and secondment arrangements are provided within each description below. Recruitment is now completed with offers made to the successful candidates. All PhD projects are to begin on September 1st 2026 or as soon as possible thereafter.