PhD Studentship: Multiscale Physics of Deformation and Failure in Polymer Networks
Develop a mesoscale modelling framework to predict the deformation and failure of polymer networks.
Best for:Best for quantitative graduates in engineering, physics, or mathematics with strong analytical, mathematical, and programming skills.
Overview
The Department of Engineering Science at the University of Oxford is offering a 3.5-year D.Phil. studentship supervised by Professor Laurence Brassart. The project focuses on developing a coarse-grained discrete-network model to investigate time-dependent deformation and failure in soft materials like elastomers and hydrogels. The successful candidate will employ statistical mechanics and stochastic thermodynamics to build physically grounded descriptions of viscoelasticity and chain scission. Expectations include conducting theoretical and computational research, comparing predictions with experimental and molecular simulation data, and actively contributing to the Brassart Group's objectives.
What you'll do
- Develop a mesoscale modelling framework for predicting time-dependent deformation and failure in polymer networks
- Design and implement coarse-grained discrete-network models representing complex network architectures
- Formulate physically grounded descriptions of viscoelasticity and time-dependent chain scission using statistical mechanics
- Validate model predictions against existing experimental data and molecular simulations
- Collaborate with group members and contribute to academic publications and research reports
Requirements
Degree required: First class or strong upper second-class undergraduate degree with honours (or equivalent) in Engineering, Physics, Mathematics, Materials, or Chemistry
Degree offered: PhD
Language: English; excellent written and spoken communication skills
Instruction: English
- Strong analytical and mathematical skills
- Programming experience in languages such as Matlab, Python, or C/C++
- Capacity for physical and mathematical modelling
- Strong first-principles problem-solving abilities
- Open to Home students
Funding & terms
How to apply
Deadline: 2026-12-02
Candidates should make informal enquiries to Professor Laurence Brassart via email. Applicants must submit a formal graduate application form through the University of Oxford course admissions portal, quoting reference 27ENGMM_LB in all correspondence and application materials.
- Graduate application form
- Undergraduate transcripts
Contact
Laurence Brassart· Professor
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