REGIONAL CLIMATE MODELING AND DATA ASSIMILATION SPECIALIST

CMCC Position cod.
Regional Climate Modeling and Data Assimilation Specialist Deadline.
November 30 th, WHAT WE ARE LOOKING FOR We are seeking an experienced Regional Climate Modeling and Data Assimilation Expert to join our Regional Models and Geo-Hydrological Impacts (REMHI) division, based in Caserta.
The ideal candidate will have a background in dynamical downscaling using Regional Climate Models (RCMs) and\/or Limited Area Models (LAMs), with a particular focus on integrating observational data into numerical models.
We value flexibility.
this position offers part-time and remote work options, especially for candidates with a high level of professional expertise.
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 This role offers an exciting opportunity to contribute to cutting-edge research and development projects, supporting the enhancement and optimization of high-performance regional modeling frameworks for weather and climate applications.
REMHI is recognized as a leader in this field across Europe, providing a unique platform for impactful work.
RESPONSIBILITIES The Regional Climate Modeling and Data Assimilation Specialist will support the Regional Models and Geo-Hydrological Impacts (REMHI) division, with.
Develop and apply regional numerical models to analyze atmospheric, oceanographic, or environmental phenomena at a local scale.
Implement advanced data assimilation techniques using tools such as Data Assimilation Coding Environment (DACE) or similar software to integrate observational data (e.
., satellite, radar, meteorological stations) into regional numerical models, enhancing the accuracy of reanalysis datasets and weather forecasts.
Collaborate with interdisciplinary and international scientific communities to develop innovative solutions and advanced methodologies in numerical modeling and data management.
Produce technical and scientific reports, present findings at conferences, and contribute to publications in peer-reviewed journals.
Actively participate in research projects in collaboration with universities, research institutes, and government agencies.
REQUIREMENTS Master's degree in Atmospheric and Climate Sciences (or equivalent) or PhD in a relevant field (Physics, Mathematics, Engineering, Environmental Sciences, etc.).
Dynamical downscaling using Regional Climate Models (RCMs) and\/or Limited Area Models (LAMs) Knowledge of data assimilation techniques, specifically methods for improving forecasts and regional climate reanalysis using advanced tools.
Proficiency in programming languages such as FORTRAN and Python.
Experience with mathematical libraries and tools used for numerical analysis.
Familiarity with Linux and Windows operating systems, with the ability to work across different platforms.
Experience with climate data management programs such as CDO (Climate Data Operators) and NCO (NetCDF Operators).
Ability to prepare technical\/scientific documentation, including project reports and research papers.
Availability to travel for limited periods.
Optional Skills.
Specific expertise in numerical models such as ICON, COSMO or other models.
Good communication skills and the ability to present complex scientific concepts clearly.
Strong problem-solving attitude, with the ability to analyze challenges and develop effective solutions.
High motivation to learn and stay updated on the latest scientific developments and techniques.
Strong time and priority management skills.
A proactive, team-oriented approach with the ability to collaborate effectively with others.
DURATION, COMPENSATION & BENEFITS Please note that this opportunity will be issued both internally and externally.
The Managers will be based in Caserta CMCC office.
Contract and gross annual salary will be based on qualifications and working experience.
Welfare package, for minimum 12 months contract.
Flexible working time as per internal policies.
Support during the immigration process, if needed.
PROTECTED CATEGORY Belonging to legally protected categories (ex L.
) will constitute a preferential condition.
Some fiscal benefits could be applied for repatriated workers or foreign researchers\/professors, having the requirements defined by Dlgs (for repatriates) or Dl (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.