PhD Studentship: Dust, the Atlantic Ocean, and Climate

University of East Anglia; Norwich; On-site; GBP 20,000 - 24,000; Full time

Benefits offered by this job

Fully funded studentship

Maintenance stipend £21,805 p.a. (2026

Job summary

The University of East Anglia invites applications for an ARIES DTP studentship focused on dust, climate, and Atlantic Ocean dynamics. You will analyse global observation datasets and climate model outputs to understand dust transport and its climatic impacts, and design experiments on the UEA HPC system to unravel underlying mechanisms.

Applicants should hold a degree in a quantitative science and show interest in data analysis, numerical modelling, and coding.

Qualifications

• Degree in a quantitative science (e.g., maths, physics, engineering,Earth system science).
• Interest in data analysis and numerical modelling is essential; some coding experience is desirable.
• Strong mathematical and computational skills are expected for climate data analysis.

Responsibilities

• Analyse global observation datasets and climate model outputs to understand dust transport and its climatic impacts.
• Design, run and analyse climate model experiments on the UEA HPC system.
• Evaluate model treatments against observations to unravel dust–climate interactions.

Skills

Data analysis

Numerical modelling

Coding experience

Education

Degree in a quantitative science

Job description

Scientific background

The Atlantic Ocean has warmed significantly over the last few years partly from increasing greenhouse gases, but other climate forcing agents also play a role. In particular, dust produced and lifted into the atmosphere over Africa and transported thousands of miles over the Atlantic has important and complex effects on climate. Saharan dust reflects sunlight to space and so cools the ocean, just as its absence warms the ocean. Dust in the atmosphere can alter the atmospheric circulation on vast scales and changes to the Atlantic Ocean sea surface temperature also impact on global atmospheric and oceanic circulation. Understanding changes in dust transport is, therefore, important for making better predictions of changes to temperature, atmospheric and oceanic circulation, and rainfall over the Atlantic ocean region. Observing, modelling and understanding the complexity of the dust cycle and its underlying processes presents a substantial but fascinating scientific challenge.

Research methodology

The project will be in two parts. First, you will analyse global datasets of observations and state-of-the-art climate models to understand the movement of dust, and its effects on temperature, atmospheric circulation, and impacts such as rainfall. Such analysis will involve examining similarities and differences between models to gain a more detailed understanding of the models’ treatments of dust and climate, and evaluating them against observations. Second, you will design, run and analyse experiments using slightly simpler climate models on the UEA high-performance computing system to untangle the mechanisms involved.

Aims and Outcomes

To understand and better predict how dust influences Atlantic Ocean temperatures, and how these changes affect climate, ocean-atmosphere circulation and precipitation patterns.

Training

You will be trained in statistical analysis, including computer coding, and interpretation of observational datasets and output from state-of-the-art climate models. You will also learn to design, run and analyse your own climate model experiments. Training activities also occur within the ARIES DTP.

Person Specification

A degree in a quantitative science.

An interest in data analysis and numerical modelling of weather systems and the climate system is essential, while some experience in coding is desirable.

Additional Funding Information

ARIES studentships are subject to UKRI terms and conditions(opens in a new window). Successful candidates who meet UKRI’s eligibility criteria will be awarded a fully-funded studentship, which covers fees, maintenance stipend (£21,805 p.a. for 2026/27) and a research training and support grant (RTSG). A limited number of studentships are available for international applicants, with the difference between 'home' and 'international' fees being waived by the registering university. Please note, however, that ARIES funding does not cover additional costs associated with relocation to, and living in, the UK, such as visa costs or the health surcharge.