University College London is advertising a competitive PhD on wildfire uncertainty, urban adaptation and insurability. UK and international applicants may compete for funding. The deadline is 13 January 2027. Applicants should consider the research fit and financial conditions together before deciding whether to apply.
Research Focus
The UNBURNT project links wildfire hazard, urban climate and building-level fire-spread scenarios. It compares adaptation choices and sources of uncertainty. The research connects simulation with decisions about urban risk. Read the project description as a starting point for identifying a question that interests you, rather than assuming that every possible method will appear in the eventual thesis.
Location and Academic Team
The university base is London, United Kingdom. The project includes links to fire-service practitioners there. The Institute for Risk and Disaster Reduction hosts the opportunity. It forms part of UNRISK. Dr Ting Sun and Dr Roger Cremades are named supervisors. The project also involves external risk and hazard-data partners.
Who Can Apply
The project seeks quantitative preparation in physics, mathematics, engineering, computer science or environmental science; prior fire-science knowledge is not expected. Check the current programme requirements for the precise qualifications and supporting documents needed. A relevant subject or an eligible nationality does not by itself guarantee admission or an award.
Funding and International Conditions
UNRISK offers 15–18 awards across the programme, covering full tuition, a UKRI-rate stipend, £6,000 individual research support and £5,000 cohort training per student. International awards are limited, with visa and Immigration Health Surcharge expenses remaining personal costs. Confirm the applicable stipend and written award terms before making financial commitments.
Exploring the Research Problem
For optional preparation, imagine that a simulation suggests a particular action helps one building while leaving uncertainty about its wider surroundings. Ask what additional comparison would be needed before describing the action as effective for a whole neighbourhood. Consider which assumptions concern the hazard and which concern how people or physical assets respond. This is a hypothetical preparation exercise, not a claim about a real community, a prescribed admissions task or a recommendation about fire safety.
You could extend the example by comparing two plausible models that disagree about the outcome of the same intervention. Explain how you would make that disagreement visible to a decision-maker instead of reporting only the result that seems most convenient. Identify what evidence could help distinguish the models and what uncertainty would remain even after collecting it. A carefully bounded explanation can demonstrate interest in risk research without implying that a simulation provides a guarantee about a real building or a future event.
Presenting Evidence of Preparation
If supporting materials are requested, choose a previous analytical project that shows how you investigated a result rather than merely producing one. Explain the original question, your own contribution, the comparison you made and the evidence behind the conclusion. If you used machine learning or simulation, describe what the evaluation established and which assumptions remained outside the test. If the application area is new to you, explain your relevant quantitative strengths and identify a realistic learning goal instead of claiming specialist expertise you do not yet have.
If supporting materials are requested, make your individual contribution clear when discussing work completed with other people. Distinguish a class exercise, an unpublished report and a peer-reviewed research output instead of presenting them as equivalent achievements. Explain what your evidence can establish and what remained unresolved, including any limitation that would matter to the conclusion. Adapt these preparation suggestions to the actual application questions, since optional advice does not add requirements to the programme’s document checklist or guarantee a particular assessment outcome.
How to Apply
Use the current programme instructions to establish the submission route and complete supporting-document checklist. Review the exact project title and academic contacts wherever the form asks you to identify your research preference. An informal academic conversation can clarify fit, but it does not replace a formal application or constitute an admission or funding offer.
- View scholarship details and follow the linked institutional application instructions.
- Identify this named project and check the current academic and funding requirements.
- Submit through the specified route by 13 January 2027 and retain confirmation.
Before Submitting
Information was checked on 23 October 2026. Reconfirm the deadline and current terms before submission, particularly where your ability to enrol depends on receiving an international award. Keep a copy of the final form and any written clarification that materially affects your eligibility, financial expectations or decision to accept an offer.