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Scientist on Global Coastal Circulation

2 settimane fa


Bari, Puglia, Italia CMCC Foundation A tempo pieno

About the Opportunity

We are seeking two talented, motivated, and proactive Ocean Modellers with a passion for marine science to join our dynamic team at the Institute for Earth System Predictions (IESP). The successful candidates will be part of the Global Coastal Ocean division, contributing to innovative research within the framework of the FOCCUS, EDITO and PHAROS projects.

Main Responsibilities:

  • Developing and implementing circulation and wave spectral models, especially for high-resolution modelling on unstructured grids, using downscaling approach.
  • Conducting research on coastal and ocean processes, with a particular focus on extreme events and their mitigation and adaptation strategies in response to climate change.
  • Building and calibrating the digital twin of the coastal ocean by integrating observational datasets, enhancing the physical complexity of our coupled numerical models, and studying related interactions.
  • Focusing on short-term forecasting and hindcast modelling with both deterministic and ensemble approaches.
  • Processing and interpreting data from simulations and observations, supporting advancements in coastal modelling and forecasting applications.

About CMCC Foundation

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.

Requirements

  • PhD or equivalent experience in Physical Oceanography, Coastal Engineering, Computational Fluid Dynamics, or related scientific fields focused on numerical modelling.
  • Experience in the development and implementation of ocean models, with a solid understanding of coastal processes and high-resolution modelling techniques, preferably using unstructured grids and nesting.
  • Proficiency in programming languages such as Python, Fortran, or C, with familiarity in UNIX/Linux environments and scripting languages (*nix shell).
  • Knowledge of HPC architectures and parallel programming.
  • Fluency in English, with strong communication skills for collaboration within a multidisciplinary team.