Senior Research Associate in Machine Learning for Geodesy - 0479-25

Reference:

0479-25

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 (CPOM), and the , 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 and , 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.

Further Details:

Please note: unless specified otherwise in the advert, all advertised roles are UK based.

Find out what it's like to , including information on our wide range of employee benefits, support networks and our policies and facilities for a family-friendly workplace.

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We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.

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