The University of Bath has a competitive PhD opportunity on robust control of magnetically levitated wind turbines. Worldwide applicants may compete for funding. Applications close on 29 November 2026, with an expected start on 4 October 2027. The opportunity connects renewable-energy engineering with mathematical modelling and control.
Research Focus
The project studies rotor stabilisation, vibration and disturbance rejection under uncertain conditions. It considers nonlinear magnetic-bearing behaviour and robust controller design. Relevant engineering backgrounds include mechanical, electrical, mechatronics and control disciplines. Applicants can use the topic to assess whether they enjoy moving between a physical system, its mathematical representation and a clearly defined performance question.
Location and Supervisors
The university base is Bath, United Kingdom. The subject connects renewable energy and dynamic systems. Mechanical Engineering hosts the PhD. It belongs to the faculty’s studentship competition. Dr Ariadne Justi Bertolin and Professor P Keogh are named supervisors. Dr Bertolin is the enquiry contact.
Academic and Financial Conditions
A first or 2:1 honours degree or international equivalent is required, with a master’s advantageous. Non-UK applicants not currently studying in the UK must meet the English requirement before the deadline. Competitive funding covers tuition, £1,000 annual training support and a stipend listed at £21,805 for 2026/27. Overseas awards are capped, visa and Immigration Health Surcharge costs are personal expenses, and the listed stipend does not establish a 2027/28 rate.
Understanding the Research Fit
An optional way to explore your interest is to imagine a controller that performs well for one assumed model. Ask what you would need to know before trusting its behaviour when one of the assumptions changes. Separate the question of whether the calculation was implemented correctly from the question of whether the assumed conditions adequately cover the situation you care about. This is a preparation example, not an advertised interview task or a specification for the eventual doctoral experiments.
You could make that example more concrete by writing down a desired response, a disturbance and an uncertain quantity. Explain which outcome would count as acceptable, and describe how a comparison might reveal a weakness in your first design. Avoid choosing a favourable example after seeing the result and then presenting it as a complete assessment. A transparent statement of what you tested and what you did not test can make a modest exercise scientifically useful without exaggerating its scope.
Demonstrating Modelling and Control Experience
If the application requests supporting materials, select a completed project in which you had to connect a model with an engineering objective. Explain what you chose to represent, what you simplified and why those choices were appropriate for the question at hand. Describe your own contribution clearly when the work involved a group, a provided simulation or an existing codebase. A short explanation of one important assumption can communicate more than a long collection of equations that the reader cannot connect to a decision.
If you used MATLAB, Python or another tool, describe what you did with it instead of relying on the software name alone. You might explain how you compared alternatives, inspected unexpected behaviour or checked that an implementation matched your intended calculation, provided that you actually performed those activities. Distinguish a classroom exercise from a research result and identify what further investigation would be necessary before drawing a broader conclusion. This keeps your account precise while giving the reader evidence of your technical judgement and willingness to question an initial result.
Preparing Questions for the Supervisor
Read the announcement first and identify an unanswered issue that matters to your decision to apply. A focused enquiry could explain your relevant preparation and ask how it connects to the advertised research direction. Keep any request about formal eligibility or submission administration distinct from a question about scientific fit. An informal conversation can provide useful context, but it does not replace the formal application or guarantee admission and scholarship selection.
How to Apply
Follow the current university submission instructions and check the complete document list. Review your programme, project title and intended supervisor before sending the application. Where you select a second project, make sure its details appear in the corresponding second-choice fields.
- View scholarship details and follow the institutional application route.
- Select the Mechanical Engineering PhD and University of Bath URSA funding.
- Identify the project and supervisor, respecting the maximum of two project choices.
Final Checks
Information was checked on 23 October 2026. Reconfirm the deadline, academic conditions and award terms before applying. Keep your submitted application and review personal expenses separately before making commitments that depend on receiving an international studentship.