Post-doc in Remote Sensing

Company Details

UM boasts of an international reputation for research and teaching.

Applications are invited for the post of a Research Support Officer to carry out duties in relation to the Coastal SAGE Project which is funded by Space Research Fund 2020 of the Malta Council for Science & Technology, and in which the University of Malta is the lead partner. The Research Support Officer may also be required to work on other projects undertaken by the Department of Communications & Computer Engineering within the Faculty of Information & Communication Technology.

Applicants should possess a PhD in an area specifically related to the project, such as computer vision, image processing or remote sensing. Experience in Python, SAR data processing and image denoising will be considered an asset.

Further information

Coastal erosion is an unrelenting phenomenon which is of importance to the Maltese Islands as the coast is one of the most-intensely used and visited areas. Research in the downstream Earth Observation sector is key to achieving reliable and cost-effective monitoring of coastal erosion. Persistent Scatterer Interferometry (PSI) techniques utilize Synthetic Aperture Radar (SAR) onboard satellites to provide millimetric deformation estimates. However, SAR suffers from speckle noise, which can affect the PSI processing pipeline and the resulting deformation maps and their interpretation. The Coastal SAGE project will use image processing and deep learning techniques to address two key aspects of the PSI pipeline: denoising of interferometric phase and phase unwrapping. The developed denoising and unwrapping methods will be used to extract ground displacements from time series of synthetic aperture radar (SAR) acquisitions, in order to estimate deformation and displacement in study areas around Malta and Gozo. These estimates will be validated through in-situ sensors.

 

Tagged as: machine learning, SAR, interferometry

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