PhD Studentship in Antarctic Coastal Ocean Carbon Sink and Climate Change
Investigate how rapid sea ice decline impacts the Antarctic coastal ocean carbon sink through data analysis and numerical modeling.
Best for:Best for quantitative science graduates with a background in environmental science, physics, or natural sciences and a strong interest in polar oceanography and coding.
Overview
This PhD studentship at the University of East Anglia investigates the effects of climate change and rapid sea ice decline on the Antarctic coastal ocean carbon sink. The successful candidate will extend marine carbonate chemistry time series from Ryder Bay, develop an idealised ocean-ice biogeochemical model, and analyze inorganic carbon cycling along the Antarctic Peninsula. Working within the Centre for Ocean and Atmospheric Sciences and collaborating with the British Antarctic Survey and National Oceanography Centre, the researcher is expected to process complex observational data, publish findings in peer-reviewed journals, and present at international conferences.
What you'll do
- Extend and analyze year-round marine carbonate chemistry timeseries datasets from Ryder Bay, Antarctica.
- Develop and refine an innovative, idealised ocean-ice model simulating ocean carbon dioxide uptake processes.
- Investigate the impacts of changing biological productivity and sea ice extent on inorganic carbon cycling.
- Synthesize surface ocean carbon dioxide datasets alongside satellite observations and reanalysis products.
- Collaborate with science teams at the British Antarctic Survey and the National Oceanography Centre.
- Disseminate research outcomes through peer-reviewed journal publications and presentations at international scientific conferences.
Requirements
Degree required: BSc or equivalent in natural sciences, environmental sciences, physics, or a similar subject
Degree offered: PhD
Language: English
Instruction: English
- Strong background in natural sciences, environmental sciences, physics, or related disciplines
- Aptitude for practical research combined with numerical and quantitative skills
- Programming experience in Python or Matlab for data processing and analysis
- Enthusiasm for collaborative research and self-motivated teamwork
- Open to applicants meeting UKRI training grant eligibility criteria for fully-funded studentships
- Limited studentships available for international applicants with fee waivers for the difference between home and international rates
Funding & terms
How to apply
Deadline: 2026-12-16
Applicants must submit their application for the relevant project through the university postgraduate research application portal. Following submission, candidates are required to complete the separate ARIES Equality and Diversity Form for each project applied to.
- CV
- Cover letter
- Academic transcripts
- ARIES Equality and Diversity Form
Contact
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