Post-Doc position at LNEC (Lisbon, Portugal), Satellite-derived coastal bathymetry. Application until 6th April 2026
Francisco Sancho
Please find below a Post-Doctoral research fellowship (BIPD) in the scope of the research project "DEEPVIEW – Coastal depth estimation platform and virtual environment", at the Department of Hydraulics and Environment of the National Laboratory for Civil Engineering (LNEC), in Lisbon, Portugal. The project is funded 100% by the Portuguese Science & Technology Foundation (Fundação para a Ciência e a Tecnologia, I.P.).
Scientific Objectives and Methods
The DEEPVIEW project aims to develop a new
wave-based Satellite-Derived Bathymetry (SDB) algorithm that
will be publicly accessible through the Google Earth Engine
cloud platform, featuring a user-friendly web interface. The
workplan to be carried out by the postdoctoral researcher
includes:
• Evaluation of optimal pre-processing techniques for (Optical and/or SAR) satellite images from the ocean surface. The project will explore
mostly Sentinel-1 and Sentinel-2 images.
• Developing an improved technique to derive coastal
bathymetry from Satellite imagery of ocean surface waves. The
method relies on the wave-based inversion technique, in which
it is proposed to merge two mathematical approaches (Fast
Fourier Transforms [Sancho et al., 2018] and Wavelet Transforms [Santos
et al., 2022]) for improved results.
• Testing and application of the above method to both Optical
(Panchromatic and Multi-spectral) and Synthetic Aperture Radar
(SAR) images.
• Implementation and integration of the developed script into
the Google Earth Engine (GEE) open-access platform.
• Assistance in the selection of the demonstration
case-studies and applying the method to these scenarios, to
determine the algorithm’s applicability range, limitations and
accuracy.
• Preparation of reports and research papers, and
participation in dissemination, outreach, and training
actions.
References:
Sancho, F., Birrien, F., and Azevedo, A., 2018. Co-ReSyF SAR-bathymetry application: algorithm testing and performance. 5.as Jornadas de Engenharia Hidrográfica; DOI: 10.5281/zenodo.1305127
Santos, D.; Abreu, T.; Silva, P.A.; Santos, F.; Baptista, P. Nearshore Bathymetry Retrieval from Wave-Based Inversion for Video Imagery. Remote Sens. 2022, 14, 2155. https://doi.org/10.3390/rs14092155
Profile
Doctorates in one of the following areas: Computer Engineering, Electrical Engineering, Systems Engineering, Naval and Ocean Engineering, Civil Engineering, Mechanical Engineering, Geospatial Engineering, Environmental Engineering, Applied Mathematics, Physics, Marine Sciences, Geophysical Sciences, Earth and Environmental Sciences, or related scientific fields.
Candidates must have obtained their PhD degree within the three years prior to the date of submission of their fellowship application and may not have carried out the research work that led to that degree at LNEC.
How to apply
Instructions for application can be found here:
https://www.lnec.pt/en/careers/bic
https://euraxess.ec.europa.eu/jobs/419131
Deadline for Application: 6th April 2026
