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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)

Milad Niroumand-Jadidi recieved the Best Young Author Award by International Society for Photogrammetry and Remote Sensing (ISPRS) for the paper
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A figure from "Change Detection in VHR SAR Images via Unsupervised Deep Transcoding" by S. Saha, F. Bovolo, L. Bruzzone
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Daniele Marinelli received the award for the Best Italian PhD Theses on Geoscience and Remote Sensing by the Italian Chapter
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