Machine Learning Post-doc

Exciting post-doctoral opportunity to conduct research combining Machine Learning approaches with modelling of the marine carbon cycle and its interactions with climate change. The post-holder will develop and apply Machine Learning approaches to quantify the growth rates of different types of marine plankton as a function of environmental conditions, and use the model to explore the response of marine ecosystems to climate change and other environmental changes. This is an exciting opportunity to join the growing carbon cycle modelling team of Professor Corinne Le Quéré and to work in collaboration with international networks. You do not need prior knowledge of carbon cycle of climate change science to apply for this post. The post is available for 33 months from 1 July or as soon as possible. Application deadline is 6 June.

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