:::: MENU ::::
  • ExtremeEarth: crop mapping for food security

    ExtremeEarth: crop mapping for food security

TOP

RSLab News

RSLab is looking for strongly motivated candidate PhD students having excellent study career and interested in research activities on remote sensing, radar and related data analysis and/or applications to Earth Observation and Planetary Exploration. Interested candidates should apply to the call issued by the International PhD School in Information and Communication Technology of the Department of Information Engineering and Computer Science of the University of Trento and accessible here. The RSLab positions are in the Area D (Curriculum 2: Telecommunications) and refer to the development of research activities linked to remote sensing, radar and the the related data analysis (e.g., artificial intelligence and machine learning, data fusion, multidimensional signal processing, etc). Moreover, the following scholarships for specific research projects are open:

  • D1 – Development of methodologies and automatic techniques for the analysis of data acquired by satellite radars in planetary missions» details
  • D2 – Development of methodologies based on machine learning and artificial intelligence for the automatic analysis of satellite remote sensing images » details
  • D3 – Analysis of long and dense remote sensing image time series  (1 grant in cooperation with FBK) » details

Candidates can apply for a general position in the area D and/or apply also for one or more specific project scholarships following the indication in the call.

The deadline for applications is May 16, 2022, hrs. 04.00 PM (CEST).

For more information on the proposed topics contact Prof. Lorenzo Bruzzone (lorenzo.bruzzone@unitn.it) or Dr. Francesca Bovolo (bovolo@fbk.eu).

RSLab is looking for strongly motivated PostDoc Researchers having excellent study career and interested in research activities on artifical intelligence and machine learning for the analysis of mutlispectral and hyperspectral remote sensing images. Currently there are 2 open positions, one more focused on hyperspectral data analysis and the other on multispectral image classification. Interested candidates can find more details on the positions and the applications at the following links:

  • Development of methods and algorithms based of deep learning for the automatic analysis of remote sensing images» details
  • Analysis of hyperspectral images by deep learning method» details

The deadline for applications is May 16, 2022.

For more information on the proposed positions contact Prof. Lorenzo Bruzzone (lorenzo.bruzzone@unitn.it)

The H2020 ExtremeEarth project has concluded successfully, developing artificial intelligence techniques for the automatic analysis of remote sensing images. In
Read more
An article in the Italian newspaper 'Il Sole 24 Ore' addresses the long link between north-eastern Italy and space, from
Read more
Prof. Lorenzo Bruzzone  is ranked #2 in Italy and #242 in the world in the 2022 Edition of Top 1000
Read more
A model of the candidate antenna for SRS  – Subsurface Radar Sounder has been recently tested by SENER in Spain.
Read more
Elena Donini and Gianmarco Perantoni received the award for the Best Italian PhD and Master Theses on Geoscience and Remote
Read more
On Thursday February 17, Stefano Paterna successfully defended his PhD Thesis on “Advanced Methodologies for Planning and Scheduling Payload Operations
Read more
RSLab achieved important research results in 2021 on both Earth Observation and Planetary Exploration and the related topics. Some relevant numbers
Read more
Media INAF has published an article that describes the recent tests on the Radar for Icy Moon Exploration (RIME) antenna.
Read more
A scaled model of the Radar antenna RIME antenna – Radar for Icy Moons Exploration (Principal Investigator: Prof. Lorenzo Bruzzone)
Read more