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Engineering and Materials Science● OpenPreview

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.

University of Oxford · South East England, United Kingdom · R1 · First-stage researcher
More professors at University of Oxford
Soft matter physicsPolymer networksMesoscale modellingMechanics of materialsViscoelasticity
Deadline
Dec 2, 2026
43 days
Funding
Salaried
£21.8k/yr
Start date
October 2027
Full-time
Location
South East England
United Kingdom

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.

DPhilpolymer networksmultiscale physicscomputational modellingsoft materialsstochastic thermodynamics

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

Required skills
  • 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
Nice to have
Foundations in Continuum MechanicsBackground in ThermodynamicsExperience with Statistical Physics
Eligibility
  • Open to Home students

Funding & terms

Type
Salaried
Amount
£21.8k/yr
Duration
3.5 years
Programme
Department of Engineering Science
Department of Engineering Science

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.

Documents required
  • Graduate application form
  • Undergraduate transcripts
↗Apply on site

Contact

Laurence Brassart· Professor

laurence.brassart@eng.ox.ac.uk

LB
Prof.
Laurence Brassart
Department of Engineering Science
Lab
Brassart Group
University of Oxford
United Kingdom
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