Graduate Research Assistant

This full-time post is available immediately on a 4.5-month fixed-term basis.

The post
The Faculty of Environment, Science and Economy wishes to recruit a Graduate Research Assistant to support the work of Marie-Jose Messias. This NERC funded post is available immediately to 31 August 2024. The successful applicant will support research into the development of ocean ventilation processes models based on oceanic transient tracers and tracer release experiments under the project ‘Bottom Boundary Layer Turbulence and Abyssal Recipes’ (BLT Recipes). The models will be used to constrain oceanic ventilation pathways and their time scales that allow key property transports (including heat and carbon) to be derived as well as locations of upwelling and downwelling.

The post will include:

• Conducting coding and documenting scripts to support the research activity above as appropriate to the research project.
• Running the inverse models and managing their products and related data.
• Supporting other work necessary to carry out relevant research. For example, undertaking data processing including chromatograms integrations, calibrations and quality control.
• Maintaining databases and support management and sharing of archived local and large-scale model data. Keeping accurate written and computerised records and ensuring data is stored securely and managed.
• Conducting the development of an Ocean Tracers Website for public awareness of the role of the ocean in climate and the BLT Recipes project.

This job description summarises the main duties and accountabilities of the post and is not comprehensive: the post-holder may be required to undertake other duties of similar level and responsibility.

About you
The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare applications to external bodies.

Applicants will be educated to First Degree level in a science field or possess an equivalent qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to conduct scientific programming with optimisation and inverse modelling for ocean data using MATLAB and Unix or Linux. Experience in statistical software and data visualisation would be beneficial. A good understanding and background in physical ocean processes or fluid dynamics would be advantageous but is not essential.

Please ensure you read the Job Description and Person Specification (available on the university's website, accessed by the 'Apply' button) for full details of this role.

Further information
For further information please contact Marie-Jose Messias, e-mail m.messias@exeter.ac.uk or telephone 07748 134929.

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