Development of algorithms and methodologies for the systematic processing of long-term satellite DInSAR datasets with medium spatial resolution

Italian Ministry of Education, University and Research; Italia; In loco; EUR 40.000 - 60.000; Tempo pieno

Vantaggi offerti da questo lavoro

None

Descrizione del lavoro

Istituto per il Rilevamento Elettromagnetico dell’Ambiente – IREA invites applications for a researcher position focused on developing algorithms for large multi-temporal DInSAR datasets, leveraging HPC resources.

Candidates should hold a Master’s degree in Environmental, Civil, Electronic, or Telecommunications Engineering, or equivalent, and have a strong scientific-professional background for research activities.

Competenze

• Development of algorithms and methodologies for processing large multi-temporal DInSAR datasets using HPC.
• Validation of ground displacement time series quality from satellite data.
• Eligibility: Master’s degree in Engineering fields (LM-35, LM-23, LM-29, LM-27) or equivalent qualifications.

Conoscenze

Algorithms

DInSAR

HPC

Data processing

Formazione

Master’s degree in Environmental Engineering

Master’s degree in Civil Engineering

Master’s degree in Electronic Engineering

Master’s degree in Telecommunications Engineering

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 6 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 algorithms and methodologies for the systematic processing of large multi-temporal DInSAR datasets, acquired by medium-spatial resolution satellite platforms, using high-performance computing (HPC) resources, aimed at optimizing and validating the quality of ground displacement time series.

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 curriculum 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: