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Scientist

MetService

Location

Wellington, Wellington, New Zealand

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

Kōrero mō te tūranga - About the role

Are you passionate about using advanced numerical modelling to solve complex oceanographic challenges?

We are seeking an experienced Scientist to join our Project Consultancy and Operational Oceanography Teams within the Research and Innovation Hub. This is a cross-functional role where you will collaborate with Ocean, Atmospheric, and Data Science teams to provide high-quality numerical modelling and analytical solutions. Your work will primarily focus on data analysis, code development, and scientific research to support a variety of consultancy and development projects world-wide, however you will also get the opportunity to be involved with the operational systems and teams. You will play a key part in ensuring MetService remains at the forefront of oceanographic developments and help maintain the continuity of our critical services.

Key Responsibilities

Technical Modelling \& Analysis

  • Undertake coastal wave modelling (phase-resolving and phase-averaged) and hydrodynamic assessments using systems such as SWASH, SWAN, XBeach, ROMS, SCHISM or similar.
  • Implement Lagrangian and Eulerian particle tracking to support project initiatives.
  • Conduct quality control and analysis of measured and modelled oceanographic and atmospheric data.

Research \& Development

  • Research and deliver innovations that align with business goals, contributing to long-term R\&D plans.
  • Develop performant code and automated forecasting/hindcasting solutions.

Reporting \& Stakeholder Engagement

  • Write technical and scientific reports to a high standard, communicating complex science clearly to diverse audiences.
  • Build and maintain strong relationships with internal and external project stakeholders

He Kōrero Mōu – About You

You are a self-starter who thrives in an agile, multi-disciplinary environment.

You will bring:

  • A post-graduate qualification (M.Sc. or PhD level) in a relevant physical science. Proven proficiency in scientific programming, specifically Python or Matlab, within a Linux/HPC environment (desirable).
  • Expertise in configuring and running open-source oceanographic models (e.g., SWASH, SWAN, XBeach, ROMS, SCHISM or similar.).
  • Strong knowledge of coastal, surf zone, and ocean circulation dynamics.
  • Experience with large geophysical datasets and data management techniques.
  • Ability to work independently with minimal supervision while remaining a supportive team player

Ētahi kōrero hai āwhina I a koe - Why you should join our team

This is a fantastic opportunity to work in adynamic, upbeat environment with a challenging mix of applied research and technology. We promote a positive culture with flexible hours to ensure a healthy work-life balance.

Me pēhea te tono - How to apply?

To be considered for the opportunity, please click

‘Apply Now’

to submit your application. Applicants must be a New Zealand or Australian citizen, permanent resident, or hold a valid work visa.

For more information, please contact

recruitment@metservice.com

Note: Please apply as soon as possible. We will review applications and schedule interviews as they are received. This role may close early if a successful candidate is found.

Please note

:

In January 2025, the Government announced plans for the future of the New Zealand science system, including the creation of new Public Research Organisations. As part of this, we will be

bringing together the significant capabilities and resources of MetService and Earth Sciences to provide the best weather, climate and associated impacts forecasting system for New Zealand now and into the future. To achieve this Earth Sciences will acquire MetService as a wholly owned subsidiary, with MetService retaining its role as New Zealand's authorised meteorological voice.

Click here for more information

: New science organisations

Applications close: Sunday 30th August at 11:00pm

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