The University of Bath offers a competitive PhD project on computational modelling of synovial-fluid lubrication in prosthetic joints. Worldwide applicants may compete for the studentship. It connects numerical engineering with the study of artificial joint performance. The application deadline is 29 November 2026, with an expected start on 4 October 2027.
Research Direction
The proposed work examines protein aggregation, complex fluid behaviour and mixed lubrication using numerical methods. Parallel computing contributes to a longer-term hip-implant digital-twin objective. This is a modelling opportunity rather than an advertised clinical training position. Applicants should consider whether they enjoy investigating how a mathematical description can be checked against the physical behaviour it is intended to represent.
Location and Supervision
The university base is Bath, United Kingdom. The subject links mechanical engineering and bioengineering. Mechanical Engineering hosts the PhD. It is included in the faculty’s studentship competition. Dr Lee Nissim, Dr James Ewen and Professor Richie Gill are named supervisors. Dr Nissim is the enquiry contact.
Academic Requirements
Applicants need a first or 2:1 honours degree or international equivalent; a master’s is advantageous. Fluid mechanics and numerical methods are important, alongside solver-writing experience or enthusiasm to learn. Non-UK applicants not currently studying in the UK must meet the English requirement before the deadline. Review your own preparation against those conditions and distinguish an area of interest from a skill you can already demonstrate.
Funding for International Applicants
Competitive support covers tuition, £1,000 annual training support and a stipend stated as £21,805 at the 2026/27 rate. Overseas awards are capped, while visa and Immigration Health Surcharge costs are personal expenses. The stipend figure does not confirm the rate for 2027/28. Before making plans that depend on the award, check the exact financial terms in writing and separate research support from money available for your own living costs.
Exploring the Modelling Problem
For an optional preparation exercise, imagine a numerical model that gives a plausible output for one set of inputs but produces a surprising result after a small change. Write down how you would investigate whether the difference comes from the physical assumptions, the numerical approximation or an error in implementation. Explain what comparison would be useful and what it could actually establish. This example is general application preparation and does not describe an additional test or a specific experiment promised by the project.
Try to distinguish checking that code solves the intended equations from checking whether those equations adequately represent the system being studied. If you have encountered that distinction in coursework or a dissertation, describe the concrete decision you faced rather than relying only on terminology. State what evidence supported your conclusion and what remained uncertain. A clear account of an unresolved limitation can show careful scientific judgement when it is presented honestly and connected to the question being investigated.
Presenting Technical Preparation
If a CV or supporting statement is requested, select a relevant example that demonstrates your approach to computational work. Explain the problem, your individual contribution, the tools you used and how you assessed the outcome. If you worked with an existing solver, distinguish using it, modifying it and developing an independent implementation instead of presenting those activities as interchangeable. If your experience is mainly theoretical, identify the relevant mathematical preparation and explain which practical skills you would want to strengthen during doctoral study.
It can also help to organise a short account of how you made your work understandable to another person. Consider whether you documented assumptions, kept track of model versions or explained why a result changed after a correction. Only describe practices you actually used, and avoid implying that an unpublished exercise is a peer-reviewed result. These suggestions concern how to communicate genuine preparation and should be adapted to the application’s actual questions and document requirements.
How to Apply
Follow the university’s current submission instructions and use the exact advertised project title. Check your intended programme and supervisor fields before submitting the form. An informal enquiry can resolve a focused research question, but it is separate from the formal application and funding decision.
- View scholarship details and follow the institutional application route.
- Select the Mechanical Engineering PhD and University of Bath URSA funding.
- Identify the project and lead supervisor; a maximum of two project choices is permitted.
Final Preparation
Information was checked on 23 October 2026. Confirm the latest eligibility, document checklist and funding conditions before applying. Keep the final version of your submission and any written clarification that affects your decision to enrol, especially if receiving an international studentship is essential to your plans.