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Consiglio Nazionale delle Ricerche
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3 days ago
Contratto di ricerca in retrieval del campo di vento da immagini SAR in banda L Consiglio Nazionale delle Ricerche in Italy
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Lordo Ente € 96.000,00; funding source listed as RL2OCEAN - ROSE-L L2 OCEAN PROCESSOR (DTA.AD004.735), NA_ESA_CANVAS (DTA.AD004.665), and Rose-L Ocean Science Study (DTA.AD004.790).
Deadline
Nov 19, 2026
Country
Italy
University
Consiglio Nazionale delle Ricerche
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About this position
This research contract is hosted by the Istituto di Scienze Marine (ISMAR) of the Consiglio Nazionale delle Ricerche, with the position based at the Naples secondary office and connected to the broader ISMAR scientific network. The successful candidate will join a research programme focused on marine wind retrieval from L-band SAR data, supporting the development of operational ocean products in anticipation of the ROSE-L satellite mission.
The work sits within the research projects RL2OCEAN - ROSE-L L2 OCEAN PROCESSOR, NA_ESA_CANVAS, and Rose-L Ocean Science Study. The appointed researcher will contribute to the design and implementation of retrieval approaches for estimating wind fields at the sea surface from SAR acquisitions, with an emphasis on moving from scientific methodology toward an operational level-2 ocean processor.
The project is strongly oriented toward remote sensing algorithm development and software implementation. The selected researcher will review the scientific literature on SAR-based wind estimation, develop and document retrieval algorithms for nominal and extreme wind conditions, prepare SAR level-1 products for retrieval use, and help define the auxiliary data required for the procedures. The role also includes supporting level-2 processor development, contributing to calibration and validation software, and working on an empirical geophysical function linking wind fields to normalized radar cross section in L-band.
The position combines scientific analysis, algorithmic development, and technical documentation. The researcher will present results in internal project meetings and conferences, and will prepare technical reports and scientific publications as part of the activity.
The scientific reference for the programme is Dr. Giuseppe Grieco.
Funding details
Lordo Ente € 96.000,00; funding source listed as RL2OCEAN - ROSE-L L2 OCEAN PROCESSOR (DTA.AD004.735), NA_ESA_CANVAS (DTA.AD004.665), and Rose-L Ocean Science Study (DTA.AD004.790).
What's required
Applicants must hold a doctoral degree of at least three years in physics, environmental sciences, engineering and information and communication technologies, or similar fields; candidates in the third year of the doctoral programme may apply if they will obtain the degree within six months of the call, and candidates with an equivalent scientific-professional profile may also be considered. Required are at least 2+ years of experience using SAR data, excellent C/C++ and Python programming skills, fluent English, ability to work in Linux, familiarity with geophysical data formats such as HDF5 and NetCDF, and experience with deep learning algorithms and/or neural networks. Italian language knowledge is required for non-Italian citizens.
How to apply
Submit the application online through the CNR selection portal at https://selezionionline.cnr.it. Upload a valid ID, CV, research proposal, selected publications (2 to 5), and the publication list. Complete the declarations in the form and finalise the submission to receive confirmation by email.
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