Pakistani students have a new opportunity to pursue fully funded climate research in the United Kingdom.
University College London (UCL) is offering two PhD studentships under the NERC-funded UNRISK Centre for Doctoral Training. The opportunities are available for the 2027 entry.
The projects cover climate change, biodiversity, statistics and machine learning. Moreover, successful candidates will receive tuition support, a maintenance stipend and research training.
Applications will open on November 16, 2026. Candidates must submit their applications by January 13, 2027, at 1:00 PM GMT.
UCL Climate PhD Scholarships for Pakistani Students
The two available UCL projects are designed for students interested in climate-related research and advanced computational methods.
The first project is Reducing Uncertainty in the Impact of Climate on Biodiversity. It examines how climate change affects biodiversity predictions.
The second is Robust and Scalable Spatio-Temporal Modelling. It focuses on improving statistical and machine-learning methods used for climate prediction.
Both projects combine advanced research with practical environmental applications. They also provide opportunities to work with large datasets and computational techniques.
UCL Climate PhD Studentships at a Glance
| Detail | Information |
|---|---|
| University | University College London |
| Country | United Kingdom |
| Study Level | PhD |
| Programme | UNRISK Centre for Doctoral Training |
| Funding Body | NERC / UKRI |
| UCL Projects | 2 |
| Pakistani Students | Eligible |
| Tuition Fees | Covered |
| Maintenance Stipend | UKRI rate |
| Current London UKRI Stipend | £23,805 per year |
| Individual Research and Training Grant | £6,000 |
| Cohort-Level Training | £5,000 per student |
| Funding Duration | 3 years and 9 months |
| Expected Placement | 3 months |
| Applications Open | November 16, 2026 |
| Application Deadline | January 13, 2027 |
| Deadline Time | 1:00 PM GMT |
| Entry Year | 2027 |
1. Climate Change and Biodiversity PhD Project
The first UCL project focuses on improving predictions of how climate change affects biodiversity.
Scientists commonly use Species Distribution Models to estimate how species respond to changing temperatures and other climate conditions.
However, many models depend on ecological monitoring records covering relatively short periods. Therefore, the project aims to introduce longer-term information into these predictions.
Researchers will use fossil records, museum collections, historical surveys and other palaeontological sources. These sources can provide information about species and environmental changes over much longer periods.
The research will focus particularly on marine biodiversity. Arthropods and corals will form part of the research focus.
The selected PhD researcher will use computational methods to extract ecological information from historical and palaeontological sources.
These methods will include text mining and image mining. The resulting datasets will help researchers develop a longer-term understanding of species responses.
The project will then assess how this additional information affects predictions about climate-related biodiversity changes.
Consequently, the research brings together climate science, biodiversity, ecological modelling, palaeontology and data science.
Who Can Apply for the Biodiversity Project?
Students from several academic backgrounds may be suitable for this project. These include environmental science, Earth sciences, ecology, biology, palaeontology and computer science.
Applicants from related disciplines can also be considered. Strong quantitative and computational abilities will be useful for the research.
Furthermore, experience with R or Python can strengthen an application. Skills in statistics, programming, data analysis and machine learning may also be valuable.
Previous experience working with fossils is not essential for applicants.
2. Spatio-Temporal Modelling PhD Project
The second UCL studentship focuses on developing improved statistical and machine-learning approaches for climate prediction.
Climate researchers increasingly rely on large datasets and probabilistic models. These tools help scientists predict environmental changes and measure uncertainty.
However, climate observations can contain several challenges. They may be incomplete, irregularly distributed or affected by measurement errors.
Such limitations can reduce the reliability of climate predictions. Therefore, the project will develop mathematical and computational methods that remain reliable under imperfect conditions.
The research will cover several advanced areas. These include Gaussian processes, Kalman filtering, generalised Bayesian inference and robust statistics.
It will also examine scalable machine-learning methods. The researcher will study how different techniques affect prediction accuracy and uncertainty estimates.
Computational requirements will also form part of the research. In addition, the project will involve climate datasets from satellite observations.
The datasets will include information related to the cryosphere and polar regions. Therefore, the project combines mathematical theory with practical climate applications.
Who Can Apply for the Modelling Project?
Applicants with backgrounds in mathematics, statistics and computer science may be suitable. Candidates from other quantitative disciplines can also apply.
Strong programming skills will be important for this research. Applicants should also demonstrate an interest in mathematical and computational research.
Previous research experience in statistics or machine learning can strengthen an application. However, it is not necessarily required.
Relevant professional or industry experience may also be considered during the selection process.
Applicants do not need specialist climate science training. However, they should demonstrate an interest in climate and environmental applications.
What Does the UCL Climate PhD Funding Cover?
The UNRISK programme provides comprehensive financial support to successful PhD candidates.
The studentship covers full university tuition fees. It also provides a maintenance stipend at the standard UKRI rate.
The funding continues for 3 years and 9 months. The current London-weighted UKRI stipend for 2026-27 is £23,805 per year.
However, the stipend for the 2027 academic year will follow the applicable UKRI rate at that time.
Each student will also receive a £6,000 individual Research Training and Support Grant. Additionally, the programme provides around £5,000 in cohort-level training per student.
The funding period also includes an expected three-month placement. This placement can provide research experience beyond the student’s core academic work.
Are Pakistani Students Eligible?
Pakistani students can apply as international candidates for these UCL PhD opportunities.
Successful international applicants who secure an overseas-funded place can receive international tuition fee coverage. The funding also includes the maintenance stipend and research support.
However, international awards remain limited under UKRI funding rules. Therefore, Pakistani applicants will compete for a restricted number of international-funded places.
Applicants should also consider expenses that the studentship does not cover. These include UK visa fees, relocation costs and the Immigration Health Surcharge.
Academic Requirements for Applicants
Applicants normally need at least a UK 2:1 honours degree or an equivalent international qualification.
The qualification should normally relate to the selected research project. Relevant Master’s-level study can also be considered during the selection process.
UNRISK does not specify a general GPA requirement of 3.3 for these studentships.
Candidates who already hold a PhD cannot apply. Those currently registered for a PhD are also ineligible.
English Language Requirements
International applicants whose first language is not English must meet the relevant university requirements.
Candidates applying for either UCL project must meet UCL’s applicable postgraduate research English requirements before enrolment.
However, applicants do not necessarily need to complete their English-language test by the initial UNRISK application deadline.
How Pakistani Students Can Apply
UNRISK follows a central application process administered through the University of Leeds. This applies even when the selected PhD project is based at UCL.
Applicants must complete the required University of Leeds application. They must also submit the separate UNRISK application form.
Candidates should select NERC UNRISK CDT as their intended course of study. They can identify up to two PhD projects within their application.
UNRISK also encourages applicants to contact the relevant project supervisors before applying.
This step can help candidates understand the research requirements more clearly. It can also help them determine whether their academic background matches their chosen project.
Key Dates for the 2027 Intake
Applications for the UCL climate PhD opportunities will open on November 16, 2026.
The final application deadline is January 13, 2027, at 1:00 PM GMT. Therefore, eligible Pakistani students should prepare their applications before the deadline.
With two projects covering climate change, biodiversity, statistics and machine learning, the opportunities are particularly relevant to applicants with quantitative or computational backgrounds.
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