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The supervisory team uses data synthesis and modelling experiments to explore hypotheses regarding ocean biogeochemistry and the maintenance of biological activity.
The overall aim of the studentship will be to
Conduct modelling experiments with a state of the art high resolution physical-biogeochemical model to assess the potential influences of different iron sources/cycling and different physical processes in regulating surface biological activity
For example, it is of interest to assess i) whether dominant control by one particular source of iron can be established, ii) to appraise the relative importance of iron recycling against physical inputs and iii) to quantify which aspects of the fine physical and topographic scales are important – such as topographic steering or also transport and stirring at fine scales? To achieve these aims, the student will need to conduct experiments and analyze output from a state of the art 3D high resolution ocean biogeochemical model and make use of the extensive field datasets that are available for this well studied region or examine remotely sensed sea surface temperature and chlorophyll datasets. There will be sufficient flexibility in the studentship for the precise aims and objectives to be modified via the particular interests of the successful candidate.
The successful candidate is expected to spend time visiting and working with collaborator Dr Marina Lévy in Paris. In Liverpool, the student will participate in the NERC funded Doctoral Training Programme (DTP), supported by the Universities of Manchester and Liverpool alongside the National Oceanography Centre. Finally, the candidate will also be required to attend national and international conferences/workshops.
This project would be ideal for a student interested in ocean biogeochemistry and the coupling of ocean physics and biology. Ideally, the candidate will have a background in a physical, chemical or biological science and have strong numeracy skills. No previous experience in laboratory, fieldwork or modelling is required, as training will be given in the first year of the PhD.
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