The University of Leeds has a competitive PhD opportunity on turning fragmented climate information into practical decision tools. UK and international applicants are eligible, with international awards subject to limits. The project connects quantitative analysis with questions about how people interpret and use evidence. Applications close on 13 January 2027, so applicants should prepare their research-fit explanation and check the programme instructions before that date.
Research Focus
The work combines heterogeneous datasets, uncertainty-aware risk indicators and multi-criteria analysis. It also develops an interactive geospatial dashboard. A sector such as heat, drought or flood exposure is selected early with the supervisors. This makes the opportunity worth examining if you enjoy both working through a quantitative method and explaining what its output means to someone making a decision.
Location, Institution and Supervision
The university base is Leeds, United Kingdom. The advertised work connects climate risk with decision-making. Leeds University Business School hosts the project. It forms part of UNRISK. Dr Sajid Siraj and Dr Andrea Taylor supervise the opportunity. Their interests include decision support and climate-risk communication.
Background and Scholarship Support
The project seeks quantitative preparation, programming and experience handling complex data; prior climate or decision-science knowledge is not expected. UNRISK offers 15–18 awards across the programme, with full tuition, a UKRI-rate stipend, £6,000 individual research support and £5,000 cohort training per student. International studentships are limited, and applicants must meet visa and Immigration Health Surcharge expenses themselves. Check the current admissions criteria and written funding terms rather than assuming that an eligible nationality or an appropriate degree guarantees an award.
A Practical Way to Explore the Topic
As an optional thinking exercise, imagine that you are comparing three neighbourhoods using two indicators and have incomplete information for one location. Write down what you would need to know before deciding which neighbourhood should receive attention first. Consider whether a missing value means that a problem is absent or simply that it has not been measured. This example is preparation advice, not an advertised case study, a required application exercise or a promise about the eventual research setting.
Next, ask what would happen if two users gave the indicators different levels of importance. Explain whether a change in the final ordering would reflect new evidence, a different preference or both. A clear response can separate those possibilities without pretending that one ranking resolves every policy question. When discussing your interests, this kind of small, explicit example can help a reader understand your reasoning more readily than a long list of methods with no explanation of their purpose.
Demonstrating Relevant Experience
If supporting materials are requested, select one previous project that shows how you managed a difficult analytical decision. Explain the information you started with, the problem you discovered, the choice you made and the evidence you used to check the result. A data-cleaning decision, an evaluation design or a change to a visual explanation may be relevant if you describe it precisely. Distinguish your own contribution from the work of collaborators, and avoid presenting familiarity with a software package as proof that you have already mastered a research area.
If you have built a dashboard or analytical report, explain who was expected to use it and what decision it was intended to support. Describe any feedback you received and what you changed in response, provided that those events actually occurred. If you lack that experience, identify it honestly as an area you want to develop and use another completed piece of work to show your preparation. These suggestions should help you organise genuine evidence, while the programme’s current checklist determines which documents you must submit.
Choosing Focused Questions
A useful supervisor enquiry starts with a specific uncertainty that matters to your decision to apply. You might ask how much flexibility exists to shape a research question, after checking what the announcement already explains. Keep the message concise and connect it to a concrete interest or relevant experience. An academic reply can clarify fit, but it does not replace the formal application, establish eligibility by itself or guarantee selection for competitive funding.
How to Apply
Follow the current UNRISK application instructions linked from the announcement. Check that the project title and academic contacts are consistent wherever the form requests them. Leave time to resolve administrative questions before the deadline rather than treating an enquiry as a completed submission.
- View scholarship details and follow the programme’s specified route.
- Review the academic requirements and current supporting-document checklist for this project.
- Submit by 13 January 2027 and retain the submission confirmation.
Before Committing
Information was checked on 23 October 2026. The announcement does not give a numerical stipend rate, so request the applicable figure when reviewing an offer. Compare the final award terms with your circumstances before making financial commitments.