WHAT WE ARE LOOKING FOR
Are you ready to join a dynamic research team where initiative, creativity, and scientific expertise can make a tangible impact?
We are seeking a highly motivated postdoctoral researcher for a 2-year position focused on ocean and sea-ice modelling using unstructured-grid ocean models. The successful candidate will contribute to the development and application of advanced numerical modelling approaches for both global and regional ocean systems, with particular emphasis on multiscale ocean dynamics and their interaction with sea ice.
The candidate will join a multidisciplinary and collaborative research environment, contributing to model development, numerical experiments, data analysis, and the interpretation of simulation results.
ABOUT US
CMCC Foundation is a cross-cutting scientific research center 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!
To learn more about this opportunity and submit your application, please refer to the following:
ROLE
The postdoctoral researcher will report to the team leader and contribute to the development, validation, and assessment of numerical methods for a global unstructured-mesh ocean general circulation model. The research activities will focus on key numerical components of ocean modelling, with particular attention to the accuracy, stability, and computational efficiency of the numerical methods developed.
RESPONSIBILITIES
The postdoctoral researcher will contribute to some or all of the following activities:
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Contributing to the design and implementation of scale-dependent processes, numerical schemes, parameterizations, and computational workflows for global ocean modelling applications.
- Developing, configuring, and running global ocean simulations using unstructured-grid modelling approaches.
- Testing and evaluating model performance across different spatial resolutions and dynamical regimes.
- Analysing model outputs to investigate large-scale and multiscale ocean dynamics, including ocean circulation, mesoscale and submesoscale processes, air–sea interactions, and ocean variability.
- Supporting model validation through comparisons with observations, reanalysis products, and other numerical simulations.
- Working with high-performance computing platforms for large-scale numerical simulations and data processing.
- Contributing to scientific publications, technical documentation, project deliverables, and presentations at national and international conferences and meetings.
REQUIREMENTS
Required qualifications-
PhD or equivalent experience in Physical Oceanography, Applied Mathematics, Physics, or related disciplines, with a background in numerical methods and modelling.
- Experience in the development of numerical methods applied to geophysical fluid dynamics problems.
- Experience in the development and/or application of ocean circulation models, preferably using unstructured meshes.
- Advanced programming skills in both compiled (e.g. Fortran) and interpreted (e.g. Python) languages, as well as solid experience with scientific and visualization libraries (e.g. xarray, pandas, Plotly, Matplotlib).
- Knowledge of UNIX/Linux operating systems and scripting languages (e.g. *nix shell).
- Knowledge of parallel programming and high-performance computing (HPC) architectures.
Preferred qualifications-
At least two recommendation letters.
- Ability to work effectively in a collaborative research environment, with a proactive and collegial attitude, and a strong commitment to open knowledge sharing and the advancement of ocean science.
- Please note that this opportunity will be issued both internally and externally
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Contract and gross annual salary will be based on qualifications and work experience.
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Welfare package, for minimum 12 months contract.
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Flexible working time as per internal policies.
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Support during the immigration process, if needed
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The researcher will be based in Bologna CMCC Office.
PROTECTED CATEGORY
Belonging to legally protected categories (ex L. 68/99) will constitute a preferential condition.
Some fiscal benefits could be applied for repatriated workers or foreign researchers/professors, having the requirements defined by Dlgs 147/2015 (for repatriates) or Dl 78/2010 (for foreigners).
CMCC is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status, and other legally protected characteristics. Please omit from your CV any data you or we might consider discriminatory.
This job announcement is an invitation to express interest in the above-mentioned CMCC Position.
By submitting their application, candidates confirm that they have read, understood, and accepted the CMCC Personnel Recruitment Rules, available on the 'Fondazione Trasparente' webpage, as well as the Privacy Notice regarding the processing of personal data, accessible at the following link.
