Opportunity

Ocean Career: NOC Physical Oceanography Modeler

We are the National Oceanography Centre (NOC)—the UK’s leading institution for integrated coastal and deep ocean research. Through our ground-breaking research, collaboration, and game-changing innovation we work to gain a deeper understanding of our ocean, helping every living thing on our planet flourish.

We are made up of a dynamic and vibrant community focused on solving challenging long-term marine science problems, underpinning international and UK public policy, business and societal outcomes.

The ocean has the potential to provide the solutions to so many of the social, economic and environmental challenges we face worldwide. To truly harness the value of the ocean, we put ocean research, science and discovery at the heart of our culture.

Join us in shaping the future of oceanographic research and contribute your unique perspective to our organization.

About the role

We seek a talented physical oceanographer with numerical modelling experience to join the vibrant Marine Systems Modelling group at NOC in Liverpool. You will develop and apply regional numerical ocean models to investigate the physical mechanisms that connect the deep and coastal oceans, and which drive change in coastal oceans. Initially the post will explore aspects of ocean circulation (e.g., tracer and volume transports) along the eastern boundary of the North Atlantic and sea level on the north-west European shelf, as part of the ODISSEA project (Climate consequences of rapid ocean change). You will collaborate internally and externally to apply your research to improving coastal and societal resilience via, for example, an improved interpretation of coastal vulnerability based on past, present and projected future ocean-climate variability. There is flexibility to work across several projects involving the development and application of high-resolution NEMO regional ocean models.

About you

The successful candidate will be a physical oceanographer with numerical modelling experience. They will be confident at data analysis and data processing using tools such as Python (or MATLAB). The successful candidate will be able to communicate effectively, and they will have the ability and enthusiasm to collaborate productively with others. The successful candidate will have a Ph.D. in a relevant numerate environmental science discipline and a strong first degree in a numerate science, engineering or mathematics.

It is desirable that the successful candidate have experience of working with the NEMO ocean modelling system and in a Linux based High Performance Computing environment, as well as being aware of the principles of collaborative computer code development, e.g., version control. It is desirable that the successful candidate have a strong journal publication track record appropriate to their career stage.

Why NOC?

We offer a generous set of benefits, including:

  • 30 days contractual annual leave, plus 3.5 extra closure days and bank holidays
  • a 10% employer contribution pension scheme
  • access to our Employee Assistance Programme, offering free and anonymous support on mental, physical, emotional, health and financial issues
  • access to a flexible benefits portal offering online discounts, cashback and eGift cards
  • a Cycle2Work scheme allowing employees to acquire bikes and accessories
  • a great working environment with a number of social events, including summer and Christmas celebrations

Location

This position will be based in Liverpool. The center is part of the University campus and is only a short walk from the city center and Lime Street station.

The NOC has a hybrid working approach where for most positions staff can work from home up to 2 days per week. If you are interested in this position, but require a more flexible working arrangement, please contact the recruitment team using the contact details below.

We can support visa applications where required. We may be able to offer financial support for applicants who will need to relocate for this position.

Salary: £40,444

Closing date: May 31, 2024

Learn more about this opportunity and how to apply.

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