Initial requirements for advanced EO data processing” e “Advanced DInSAR and GNSS techniques for automatic mapping and monitoring of ground motions
Posted on: 07/05/2026
Deadline: 23/05/2026
Scientific-Disciplinary Group
09/IINF-05 - Information Processing Systems
Description
Development of Deep Learning and AI models applied to information sources from satellite and in-situ sensors for the study of seismic events and ground instability phenomena
Compensation
48,000 Euro
Job posting website
Number of positions
1
Maximum duration
24.0
Funding body
Istituto per il Rilevamento Elettromagnetico dell'Ambiente
How to apply
Selection process
Click to expand
Evaluation CV and interview
PhD in Mathematical and Computer Sciences, Industrial and Information Engineering (Information Processing Systems, Telecommunications), Physical Sciences, Earth Sciences, Environmental and Infrastructure Engineering, and related disciplines, or a qualification obtained abroad.Pursuant to Article 38, paragraph 3 of Legislative Decree 165/2001, candidates with qualifications obtained abroad are conditionally admitted to the selection process. If successful, successful candidates must submit an application for recognition (equivalence) of their foreign qualification to the Ministry of University and Research within 15 days of the publication of the final ranking, under penalty of exclusion from the selection process.Successful candidates in possession of a declaration of equivalence issued by an Italian university must submit it to the institution within 15 days of the publication of the final ranking, under penalty of exclusion from the selection process. Candidates may also participate in the selection process if:they are enrolled in the third year of the PhD program, provided that the aforementioned qualifications are expected to be obtained within six months of the publication date of the call for applications;or:they possess a scientific-professional curriculum suitable for carrying out the research activity, it being understood that the qualifications referred to in letter a) of this article constitute preferential qualifications for the purposes of establishing the relevant ranking. The candidate must specialize in at least one of the following areas:• Multi-source Data Management and Programming: management, organization, analysis, and integration of heterogeneous datasets and proficiency in at least one of the main scientific programming languages (Python, MATLAB, IDL, C/C++);• Neural Networks and Programming: design and/or use of neural networks and proficiency in at least one of the main scientific programming languages (Python, MATLAB, IDL, C/C++).
View the original posting on the MUR website: Go to MUR website