Coastal and Estuarine Modeller – NOC in Liverpool

Coastal and Estuarine Modeller – NOC in Liverpool

Liverpool Full-Time 28200 - 30600 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join a team to model coastal and estuarine processes and conduct impactful research.
  • Company: National Oceanography Centre, a leader in marine science and technology.
  • Benefits: Competitive salary, 30 days annual leave, pension scheme, and training opportunities.
  • Other info: Collaborate internationally and enjoy flexible working options.
  • Why this job: Make a real difference in understanding salt intrusion and climate change impacts.
  • Qualifications: PhD in relevant field, experience in coastal modelling, and strong programming skills.

The predicted salary is between 28200 - 30600 Β£ per year.

We are seeking a Postdoctoral Research Assistant in coastal and estuarine modelling to join the Coastal Ocean Processes team at the National Oceanography Centre in Liverpool. This post is offered as part of the project β€œSalt intrusion: Understanding the Pearl River Estuary by Modelling and field Experiments (SUPREME)”, funded by the Engineering and Physical Sciences Research Council as a Newton Fund activity. The project is a collaboration between the Delft University of Technology in the Netherlands, Sun Yat-sen University in China and the National Oceanography Centre in the UK.

The overall aim of the project is to understand the three-dimensional salt transport mechanisms in the Pearl River Estuary (PRE) and their sensitivity to variations in external forcing and local geographic shape. The knowledge and tools developed/applied in this project will then help assess the effectiveness of measures to alleviate undesired changes in salt intrusion. The project will adopt an integrated approach, involving both idealized and numerical modeling as well as field measurements and data analysis.

Responsibilities

  • Implement, calibrate and validate an unstructured grid numerical model for the Pearl River Estuary.
  • Conduct prognostic and diagnostic investigations for a range of scenarios of future climate change and human interventions.
  • Collaborate with project partners in the Netherlands and China, and with project leaders at NOC.

Qualifications and experience

  • Significant background in estuarine (and coastal) hydrodynamics and transport processes.
  • Experience in coastal and estuarine modelling using a coastal ocean modelling system (e.g., FVCOM, ROMS, DELFT3D, …).
  • Computational literacy with knowledge of programming languages and scientific software.
  • Math/Physics/Science degree and PhD in a relevant discipline (or nearing completion).
  • Background in the use of unstructured grids for modelling and a track-record of peer-reviewed scientific publications is preferred.

Contract and location

This is a Fixed Term Appointment, available for three years, offered on NERC terms and conditions, and open to internal and external candidates. This is a Band 6 position with starting salary of Β£28,200 to Β£30,600 per annum. Depending on skills and experience, a salary uplift and/or additional allowances may be available for exceptional candidates.

Working hours

Hours of work are full time, 37 hours per week, Monday to Friday.

What we can offer

Competitive remuneration package, including a RCUK pension scheme, 30 days annual leave with a further 14 Public/Privilege days. Opportunities for further training and development are supported. The role will include periods of travel both within the UK and internationally.

About us

The National Oceanography Centre (NOC), part of the Natural Environment Research Council, is a national research organisation delivering integrated marine science and technology from the coast to the deep ocean. The NOC is a leading centre for sea level science, coastal and deep ocean research and technology development, with sites in Liverpool and Southampton. It provides capability to meet needs across the UK marine science community. The Coastal Ocean Processes team studies processes on the continental shelf and the shelf break. Our work supports models of the physics, chemistry and biology of shelf seas used to predict the impacts of climate change and to inform policy. We combine field observations and numerical models to improve understanding of sediment transport and estuarine ecosystems, and the morphology of coastal zones over decades.

Equal opportunities and working culture

The NOC is an equal opportunities employer and welcomes applications from all sections of the community. The NOC is an Investors in People organisation and is working towards Bronze status for Athena SWAN. The NOC provides a guaranteed Interview Scheme for suitable candidates with disabilities and supports flexible working where possible.

How to apply

Applications are handled by the UK Shared Business Services Ltd (UK SBS). For more information about the role and to apply, please visit our website and quote reference number IRC242691. If you are unable to apply online, please contact us by telephone.

Interview date

It is proposed that interviews will take place on 6 November 2017.

Coastal and Estuarine Modeller – NOC in Liverpool employer: MPOWIR Mentoring Physical Oceanography Women to Increase Retention

The University of Cambridge offers an exceptional environment for research and innovation, particularly within the Ocean Dynamics group. As a Post Doctoral Research Associate, you will benefit from a collaborative work culture that encourages intellectual growth and interdisciplinary partnerships, while being part of a prestigious institution renowned for its commitment to advancing scientific knowledge. Located in the vibrant city of Cambridge, you will have access to a wealth of resources and networking opportunities, making it an ideal place for meaningful and impactful research.

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Contact Details:

MPOWIR Mentoring Physical Oceanography Women to Increase Retention Recruitment Team

We think you need these skills to ace Coastal and Estuarine Modeller – NOC in Liverpool

Estuarine Hydrodynamics
Coastal Modelling
Numerical Modelling
Unstructured Grid Modelling
Programming Languages
Scientific Software Proficiency
Data Analysis