We are the National Oceanography Centre (NOC)—the UK's center of excellence for oceanographic sciences. We are a national research organization, delivering integrated marine science and technology from the coast to the deep ocean.
We are made up of a dynamic and vibrant community whose focus is on improving the world in which we live. Our work is balanced by our strong sense of purpose, values and behaviors and an unwavering commitment to a ‘one NOC’ approach.
We have a rich history dating back to 1949, and our future has never looked more exciting as we aim to be the world’s most innovative oceanographic institution.
About the role
We are seeking a motivated oceanographer to join our Ocean Circulation and Processes team within the Marine Physics and Ocean Climate group (https://noc.ac.uk/science/research-areas/marine-physics-ocean-climate) in Southampton. In this Research Scientist role, you will be investigating North Atlantic circulation and the Atlantic meridional overturning circulation (AMOC). You will work on developing new methods for observing the AMOC using observations, numerical modelling and artificial intelligence techniques as part of the MEZCAL (Methods for Extending the horiZontal Coverage of the Amoc Latitudinally and retrospectively), RAPID (https://rapid.ac.uk) and OSNAP (https://ukosnap.org) projects.
In this role you will carry out independent research, developing your own body of work and expertise. You will have the opportunity for attendance to international project meetings and conferences, as well as a week-long visit to develop collaboration with US partners. You will be part of the Ocean Circulation and Processes team, which is currently a group of 17 researchers that lead and contribute to fieldwork, income generation and high-impact publications.
About you
Successful candidates will have a competitive record of peer-reviewed publications appropriate for their career stage, demonstrating independent thought and ability to innovate. Candidates should also have a strong track record in physical oceanography research, ideally with a focus on Atlantic circulation and processes. The candidate should be experienced using observational datasets, reanalysis products, and model output in their research, as well as experience in (or a strong interest) in applying machine learning techniques to ocean dynamics.
The candidate will have completed a Ph.D. in oceanography or a related field and have strong programming skills. Oral and written communication skills are also essential.
