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Dr Stephen Chuter


I am currently Research Associate at the University of Bristol, working on the (ERC) GlobalMass Horizon2020 project as lead PDRA of the Land Ice work package. Previously I completed my PhD at the University of Bristol in March 2018, which received a commendation from the Faculty of Science and the 2018 Faculty Doctoral Prize for the Natural Environment and Life Sciences. My research interests and focus over my career to date include: the application of satellite radar altimetry over ice sheets, monitoring ice sheet dynamics using multiple satellite observation datasets, the use of novel statistical methods to ice sheet processes and large data processing techniques applied to geophysical datasets (both satellite and in-situ). My research has been published in leading peer-reviewed journals and I have participated in international inter-comparison exercises (WCRP Sea Level Budget).

In addition to my research, I have delivered undergraduate and postgraduate teaching (lectures, field trip assistant and lab practical exercises). I have also organised and chaired short courses at the European Geosciences Union (EGU) General Assembly. I am an active participant in science communication and outreach, providing blog contributions to the EGU Cryosphere Division blog. Linked to outreach and communication, I am currently Principal Investigator on the ‘Interactive visualisation of Antarctic mass trends from 2003 until present’ research project, funded by the Jean Golding Institute (JGI). 

January 2014 - March 2018

Geography PhD - University of Bristol (School of Geographical Sciences)

Thesis topic: The investigation of Antarctic ice sheet properties utilising data from the Cryosat 2 mission, with particular emphasis on the mapping and monitoring of grounding line flux

Supervisors: Professor Jonathan Bamber, Dr Rory Bingham 

October 2010 - June 2013

Geography BSc - University of Southampton (School of Geographical Sciences)

Dissertation topic: Measuring glacial retreat with respect to climate in the Mont Blanc Massif, France, through the development of a standardised remote sensing methodology