12633 - Data Assimilation Expert for Ocean Modelling

at  CMCC Foundation

ABOUT US

CMCC Foundation is a cross-cutting scientific research centre on climate change and its interactions with the environment, society, the world of business, and policymakers. Our work aims to stimulate sustainable growth, protect the environment, and develop strategies for the adaptation and mitigation of climate change. CMCC’s core objective is to conduct cutting-edge science, to train the next generation of scientists at both national and international levels, and to be a beacon for climate modelling.
CMCC pursues fundamental and applied science with utmost scientific integrity, prioritizing data-driven science and providing data, information, and research results that can support informed public debate and decision-making processes. To achieve climate research objectives at the highest international standards, we invest in training all our talents and strive to create a workplace where everyone can excel.
At CMCC you will find a strong, professional environment. Join an inclusive community that values diversity, where every voice is heard and respected. Help foster a culture of innovation and societal change, where individuals from all backgrounds can thrive and succeed.
Over the last decade, CMCC has experienced extraordinary growth. We are now embarking on a new chapter of our journey that will further boost CMCC’s global position in climate change research…Together!

REQUIREMENTS

We are seeking candidates with a strong background in data assimilation for ocean circulation modelling, oriented to coastal processes and very high-resolution modelling techniques. Proficiency in programming languages and experience with processing and interpreting simulation-based and observational datasets are essential for success in this role.

• PhD or equivalent experience in Physical Oceanography, Coastal Engineering, Computational Fluid Dynamics or other scientific disciplines dealing with numerical modelling (e.g. Physics, Mathematics)
• Experience in developments and implementations of coastal ocean models
• Good knowledge and skills in programming language (i.e Python and Fortran/C)
• Knowledge of UNIX/Linux operating systems and script languages (i.e. *nix shell)
• Knowledge of parallel programming on HPC architectures
• Fluency in English

ROLE

The role will be pivotal within the coastal ocean modelling team, contributing to the development of enhanced forecasting capabilities of coastal ocean models. Activities will focus on both research advancements in oceanography and the transition to operational forecasting, with a strong emphasis on innovative data assimilation solutions and the integration of observational data.

RESPONSIBILITIES

This position is for a Data Assimilation Expert for Ocean Modelling oriented to the Coastal Ocean, with advanced expertise in data assimilation, leveraging variational, statistical and/or hybrid approaches, including artificial intelligence and machine learning for model-data integration. The ideal candidate should have a deep understanding of general ocean circulation, coastal processes, and very high-resolution modelling techniques, with a particular focus on unstructured grids. Additionally, a strong knowledge of observational data - both satellite and in situ - across scales from open ocean to coastal regions is desired.

We are seeking candidates with a strong background in data assimilation for ocean circulation modelling, oriented to coastal processes and very high-resolution modelling techniques. Proficiency in programming languages and experience with processing and interpreting simulation-based and observational datasets are essential for success in this role.

• PhD or equivalent experience in Physical Oceanography, Coastal Engineering, Computational Fluid Dynamics or other scientific disciplines dealing with numerical modelling (e.g. Physics, Mathematics)
• Experience in developments and implementations of coastal ocean models
• Good knowledge and skills in programming language (i.e Python and Fortran/C)
• Knowledge of UNIX/Linux operating systems and script languages (i.e. *nix shell)
• Knowledge of parallel programming on HPC architectures
• Fluency in Englis