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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. Please check the eligibility requirements carefully before applying. Note in particular that EU Mobility rules apply - specifically that Doctoral Candidates may not take up a position with a primary host in a country where they have lived or carried out their main activity (e.g. study or work) for more than 12 months in the last three years.

All PhD projects are to begin on September 1st 2026 or as soon as possible thereafter.

Research Project: Bayesian inference of active Brownian motion

For the study of motile cells and other self-propelled particles it is often key to extract quantitative features from trajectories of these particles, both to quantify experimental trajectories and to parametrise theoretical models.

University of Göttingen, Germany

Research Project: Beyond the extensile/contractile dichotomy in active nematics

Active nematics is one of the most studied situations in active matter physics, both in theory and experiments.

The University of Edinburgh, United Kingdom

Research Project: Bottom-up modelling of dense bacterial suspensions

Dense active suspensions, such as those formed by swarming bacteria, constitute a type of active matter that is particularly hard to model.

CEA Saclay/Université Paris-Saclay, France

Research Project: Collective tug-of-war dynamics: from molecular motors to ant groups

The emergence of directed transport as a collective behaviour of many microscopic constituents is a ubiquitous problem in the statistical physics of active particles.

The University of Edinburgh, United Kingdom

Research Project: Control theory for topological active matter

Experimental techniques have demonstrated the ability to alter the collective dynamics of active systems with various types of external perturbations.

University of Luxembourg, Luxembourg
Simulations of Self-propelled hard disks, at surface ratio 0.85 and active (Pe number= 100). Each particle is colored according to its local orientational order (hexatic order parameter). Black spots indicate topological defects of different nature. More information in Soft Matter, 2022,18, 566. Credit: Pasquale Digregorio

Research Project: Defect dynamics in pulsating active matter

Some collective states in active matter exhibit topological properties through the formation of vortices and defects. In some living systems, defects have been shown to have important biological functions.

The University of Barcelona, Spain
Long-range velocity correlations in active matter from active dopants.  Credit: Abbaspour et al

Research Project: Dense active matter and the cage escape dynamics of active particles

Passive particles form amorphous solids or glasses at high densities. The same is true of active particles that model living matter such as confluent tissues.

University of Göttingen, Germany

Research Project: Dynamics of interacting molecular motors

The dynamics of the sperm flagellum has been recently studied with particular attention to its fluctuations. It has been found that the precision of the flagellar beating is close to that of an individual dynein motor powering its motion, which in turn is close to the bound dictated by the thermodynamic uncertainty relation.

NANOTEC-CNR/The Sapienza University of Rome, Italy
Credit: Torben Sunkel

Research Project: Elucidating the role of mechano-signalling feedback in dense cellular collectives

Collective tissue behaviour is inherently a multiscale phenomenon that is governed by complex biochemical and mechanical processes occurring simultaneously at the molecular, cellular, and tissue scales.

TU Eindhoven, The Netherlands

Research Project: Exploring active field theories to unravel solidification of protein condensates

The spatial organisation of proteins into dense condensates, widely attributed to nonequilibrium phase separation, offers a route to recruit or sequester proteins involved in functions at the cellular level.

University of Stuttgart, Germany

Research Project: Growth of cells in viscoelastic medium

Typically, the complex environments in which living systems reside are viscoelastic fluids. For example, the extracellular matrix comprises cross-linked, semiflexible polymeric filaments that respond sensitively to even small stresses generated by cells.

Institute of Physical Chemistry Polish Academy of Sciences, Poland
A dense cellular collective. Credit: Silke Henkes

Research Project: Learning non-reciprocal interactions between migrating cells

Owing to their active nature, interactions between migrating cells can be non-reciprocal. However, the extent to which cells control their collective behaviour through non-reciprocal interactions remains unclear.

VU Amsterdam, The Netherlands
Comparison of an agent-based model for flocking and schooling (arrows) with an active field theory (coloured patches). Credit: Richard Blythe

Research Project: Microscopically-informed active field theories

Active field theories are widely used to study collective effects in driven systems at all levels of organisation, allowing instabilities to pattern formation to be identified.

The University of Edinburgh, United Kingdom
Credit: Lukas Hupe

Research Project: Proliferating active media

While active matter theory has successfully advanced our understanding of the collective dynamics resulting from individual sources of activity, multiple active processes usually act in concert in real biological systems.

Max-Planck Institute for Dynamics and Self-Organization/University of Göttingen, Germany
Statistical mechanics of motility and growth within extracellular matrices. Credit: Chinmay Pabshettiwar

Research Project: Statistical mechanics of motility and growth within extracellular matrices

Collective cellular activity and self-organisation phenomena arising from non-equilibrium activity are ubiquitous in tissues and cellular aggregates. However, the relationship between individual properties and biological patterns remains unexplored.

The University of Leiden, The Netherlands