Development of advanced DInSAR algorithms and methodologies for processing satellite SAR data at the full spatial resolution.

Italian Ministry of Education, University and Research

Italia

In loco

EUR 42.000 - 66.000

Tempo pieno

42 ore fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Istituto per il Rilevamento Elettromagnetico dell’Ambiente – IREA in Italy seeks a researcher to advance DInSAR methods for processing full-spatial-resolution SAR data across multiple times. You will focus on understanding infrastructure deformation and integrate in-situ monitoring and geospatial analysis to enhance interpretation.

The position targets candidates with a strong research track record and relevant master's credentials, aiming to contribute to cutting-edge electromagnetic

Competenze

  • Master’s degree or equivalent suitable for assisting with the research activities.
  • Eligibility of fellows: EU residence allowed.

Mansioni

  • Develop advanced DInSAR algorithms and methodologies for processing multi-temporal SAR data.
  • Integrate in-situ monitoring techniques and geospatial data analysis tools in research workflows.

Conoscenze

DInSAR algorithms
Geospatial analysis

Formazione

Master’s degree Environmental Engineering LM-35
Master’s degree Civil Engineering LM-23
Master’s degree Electronic Engineering LM-29
Master’s degree Telecommunications Engineering LM-27

Strumenti

QGIS

Descrizione del lavoro

Organisation/Company Istituto per il Rilevamento Elettromagnetico dell’Ambiente – IREA Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 9 Oct 2026 - 18:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Development of advanced DInSAR algorithms and methodologies for processing full-spatial-resolution multi-temporal SAR data acquired by multi-frequency satellite SAR sensors, aimed at improving the understanding and interpretation of the deformation behavior of infrastructures and the built environment, also considering the integration of in-situ monitoring techniques and the use of geospatial data analysis software environments (e.g., QGIS).

Master’s degree (or single-cycle degree) in Environmental Engineering (LM-35), Civil Engineering (LM-23), Electronic Engineering (LM-29), Telecommunications Engineering (LM-27), or equivalent qualifications obtained no more than six years ago, as well as a scientific-professional curriculim suitable for assisting with the research activities covered by the position.

  • Italy

Eligibility of fellows: country/ies of residence:

  • EUROPE

Eligibility of fellows: nationality/ies:

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