PhD Studentship: What is Driving Arctic Climate Change in the Eastern Eurasian Basin?

University of East Anglia - School of Mathematics

Start Date: October 2018

Supervisor: Dr Gareth Marshall

Project description: Scientific Background

The Arctic Ocean has warmed faster than anywhere else on Earth over the past few decades. Climate change in the eastern Eurasian Basin region of the Arctic Ocean may have wider environmental implications because significant stores of carbon are contained there, within subsea permafrost on the East Siberian Arctic Shelf. Some scientists argue that its release might be a major contributor to global warming. We do know that the region’s climate is sensitive, as the Eurasian Basin has shown the greatest reduction in minimum sea ice extent across the Arctic in recent years. Thus, there is a pressing need to better understand the key physical interactions governing climate variability in the Eurasian Basin, to better constrain projections of how the region’s climate will evolve

Research methodology

The successful candidate will:

  • Undertake an analysis of the relationships between the atmosphere, sea ice and ocean in the Eurasian Basin (East Siberian and Laptev Seas) to establish the key statistical linkages driving regional climate variability. He/she will use a range of meteorological observations, gridded reanalysis, remote-sensing datasets, climate models and proxy data.
  • Relate climate in the Eurasian Basin to large scale modes of climate variability.
  • Undertake new climate modelling experiments to determine the primary physical processes that govern regional atmospheric coupling to the ice-ocean system.
  • Focusing on these key physical processes and statistical relationships, he/she will utilise a subset of the models used by the Intergovernmental Panel on Climate Change (IPCC) to examine how projected future atmospheric circulation changes are likely to impact the regional ice-ocean system

Training

In addition to the EnvEast training programme, the candidate will have training opportunities in statistical methods, data analysis and visualisation techniques, climate modelling and public outreach. There is the potential to visit and collaborate with scientists from Moscow State University (MSU).

This project has been shortlisted for funding by the EnvEast NERC Doctoral Training Partnership, comprising the Universities of East Anglia, Essex and Kent, with over twenty other research partners. Undertaking a PhD with the EnvEast DTP will involve attendance at mandatory training events throughout the course of the PhD.

Shortlisted applicants will be interviewed on 12/13 February 2018.

For further information, please visit www.enveast.ac.uk/apply

Person specification: We are looking for enthusiastic, self-reliant, and self-motivated candidates with a strong numerical background in mathematics, physics or the environmental sciences. Previous programming experience in one of Python, MATLAB, IDL or similar computing environment would be advantageous.

EnvEast welcomes applicants from quantitative disciplines who may have limited background in environmental sciences. Excellent candidates will be considered for an award of an additional 3-month stipend to take appropriate advanced-level courses in the subject area.

Minimum entry requirement: 2:1 or equivalent.

Funding notes: Successful candidates who meet RCUK’s eligibility criteria will be awarded a NERC studentship - in 2017/18, the stipend is £14,553. In most cases, UK and EU nationals who have been resident in the UK for 3 years are eligible for a stipend. For non-UK EU-resident applicants NERC funding can be used to cover fees, RTSG and training costs, but not any part of the stipend. Individual institutes may, however, elect to provide a stipend from their own resources. 

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Type / Role:

PhD

Location(s):

South East England