12645 - Regional Climate Modeling And Data Assimilation Specialist
12645 - Regional Climate Modeling and Data Assimilation SpecialistCasertaRemotoEUR 30. 000 - 50. 000CMCC Position cod.
12645Regional Climate Modeling and Data Assimilation SpecialistDeadline: January 31th, 2025What We Are Looking ForWe 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 UsCMCC 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. ROLEThis 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. ResponsibilitiesThe 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. g. , 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. RequirementsMaster'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. The position has been opened within the project "Centro Nazionale Biodiversità (CNB Spoke Terra/Mare) - CUP Number: C83C22000550007. PROTECTED CATEGORYBelonging to legally protected categories (ex L. 68/99) will constitute a preferential condition. 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. This job announcement is an invitation to express interest in the above-mentioned CMCC Position. Applicants responding to this posting declare that they have read, understood and agreed to the "Official Rule for the CMCC Personnel recruitment". We will keep your information on file for up to 1 year.
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