Hydrodynamic Data Assimilation Modeller
MetOcean Solutions is a science-based consultancy and forecast supplier providing specialist numerical modelling and analytical solutions in meteorology and oceanography. Based in New Plymouth and Raglan (New Zealand) our international team works on projects and data analysis world-wide. We passionately believe in rigorous scientific method and in applying the latest information technology to data services.
A medium-sized company, MetOcean Solutions occupies several niche consultancy and service roles and has a rapidly growing forecast and hindcast sector. We are currently seeking a talented Hydrodynamic Data Assimilation Modeller to join our team.
Our employees enjoy an open-office, upbeat culture within a small coastal town on the North Island of New Zealand, 2 hours from Auckland. Our company atmosphere promotes a hard-working environment, supported by flexible hours to ensure a healthy work-life balance. We encourage our people to bring fresh ideas to the table, rise to any challenge, and remain passionate about our products and the company mission.
We are seeking a self-starter to work in our multi-disciplinary R&D environment. Your role will be to lead the development, implementation and application of advanced methods for data assimilation in marine hydrodynamic models to support various projects undertaken by MetOcean Solutions. The role also includes participation in the MetOcean Solutions operational ocean forecasting team, with particular focus on hydrodynamic modelling, ocean prediction and data analysis.
This is a fantastic opportunity to work in a growing environment with an interesting and challenging mix of science and technology.
Qualifications: PhD and documented research experience in hydrodynamic modelling, preferably in a coastal application.
To apply you must have the following skills and experience:
To apply for this position, please email your cover letter and CV to: firstname.lastname@example.org
Please reference Application for Hydrodynamic Data Assimilation Modeller 2017 in Subject line.