Scientist for Satellite Data Assimilation in Climate Research
2 settimane fa
CMCC is a scientific research center focused on climate change and its interactions with the environment, society, the world of business, and policymakers. Our mission aims to stimulate sustainable growth, protect the environment, and develop strategies for the adaptation and mitigation of climate change.
Job Description: Data Assimilation ScientistWe are seeking a motivated scientist to join our team at the Institute for Earth System Predictions (IESP). As a Data Assimilation Scientist, you will be responsible for supporting the scientific plan and contributing to the development of scalable data assimilation systems. Your primary focus will be on the assimilation of satellite radiances, particularly IR radiances, using advanced techniques and methodologies.
Main Responsibilities:- Assimilate radiance measurements from hyperspectral infrared instruments such as IASI-NG, MTG-IRS, and CrIS using the RTTOV forward operator.
- Monitor and assess the performance of all satellite radiances assimilated, improving the system if necessary to utilize new satellite data from different instruments.
- Develop techniques for detecting contamination in IR radiances due to clouds and aerosols.
- University degree in Physics, Maths, Meteorology, or related fields, preferably to PhD level or equivalent proven research experience.
- At least three years of relevant work experience.
- Good knowledge of satellite observations and data assimilation methodology.
- Proficiency in computing skills, including Unix/Linux environment, Fortran, C++, Python, and IDL.
We offer a competitive salary ranging from 30,000 to 60,000 Euros per year, depending on qualifications and working experience. Additionally, we provide a welfare package, flexible working time, and support during the immigration process, if needed. The position has been opened within the RETE project.
CMCC is an equal-opportunity employer, committed to evaluating qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status, or other protected characteristics.
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