Senior Research Associate in Machine Learning for Geodesy

We are seeking to recruit an creative, highly-motivated senior post-doctoral researcher to work on the development and implementation of deep learning workflows to be applied to digital elevation models, satellite altimetry, and optical imagery. Joining the UK’s Centre for Polar Observation and Modelling (CPOM), and the Centre of Excellence in Environmental Data Science, you will work on the ERC-selected Greenland Subglacial Lake Observatory (GLOBE) project, which aims to identify, monitor and forecast subglacial lake activity beneath the Greenland Ice Sheet. As part of this project, you will work to develop and implement machine learning approaches to identify lakes and lake drainage behaviour, and to deploy these workflows at scale.

Based at Lancaster University, you will join our dynamic and rapidly-growing group of polar researchers, who use satellite observations, climate models and field measurements to study the cryosphere. We offer an ambitious, friendly and supportive environment for developing a career in polar research, and our group includes PhD students, post-doctoral researchers and more senior academics. Lancaster University has been named University of the Year 2018 and International University of the Year 2020, and is ranked in the top 10 UK Universities and the top 1% in the World.

The anticipated start date for this 3.5 year post is August 2025.