About this role
3.5-year D.Phil. studentship
Supervisor: Professor Laurence Brassart
Many soft materials, such as elastomers and hydrogels, consist of networks of interconnected polymer chains. Their properties can be tuned through molecular composition, polymer chain length, network architecture, and interactions with solvents, resulting in a broad range of mechanical behaviours and functionalities. This versatility underpins applications ranging from soft structures and adhesives to medicine, energy, and sustainability technologies. A major challenge for the design of these materials is to understand and predict their deformation and failure behaviours and their relationships to the underlying network topology.
The aim of this DPhil is to develop a mesoscale modelling framework to predict the time-dependent deformation and failure of polymer networks based on a description of the underlying chain-level physics. Building on previous works in the Brassart Group, we will use a coarse-grained discrete-network model to explicitly represent the network architecture. A major focus will be the development of physically grounded descriptions of viscoelasticity and time-dependent chain scission, drawing on statistical mechanics and stochastic thermodynamics. The framework will be used to investigate time-dependent deformation and failure, with predictions tested against existing experimental data and, where appropriate, molecular simulations.
This project would particularly suit a student who enjoys physical and mathematical modelling, and who is excited by challenging theoretical problems in soft matter physics and mechanics. Candidates are not expected to have prior experience in this specific area, but intellectual curiosity, a desire to understand problems from first principles, and strong analytical and computational skills are essential. A background in mechanics, physics, applied mathematics, materials science, or chemistry could provide a suitable starting point.
Eligibility
This studentship is funded through the Department of Engineering Science and is open to Home students.
Award Value
Course fees are covered at the level set for UK students (at least £10,940 p.a.).
The stipend (tax-free maintenance grant) is at least £21,805 p.a. for the first year, and at least this amount for a further two and half years.
Candidate Requirements
Prospective candidates will be judged according to how well they meet the following criteria:
- A first class or strong upper second-class undergraduate degree with honours (or equivalent) in Engineering, Physics, Mathematics, Materials, or Chemistry
- Excellent English written and spoken communication skills
- Strong analytical and mathematical skills
- Programming experience (e.g. Matlab, Python, C/C++,…)
The following background is desirable but not essential:
- Foundations in Continuum Mechanics and/or Thermodynamics and/or Statistical Physics
Application Procedure
Informal enquiries are encouraged and should be addressed to Professor Brassart ([email protected]).
Candidates must submit a graduate application form and are expected to meet the graduate admissions criteria. Details are available on the course page of the University website.
Please quote 27ENGMM_LB in all correspondence and in your graduate application.
Application deadline: noon on 2nd December 2026 (In line with the University admissions deadline set by the University)
Start date: October 2027