Research Fellow

6 days ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

The Climate Transformation Programme aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish a stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences, the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore and transfer these solutions to Southeast Asia (SEA) and beyond.

Cross Cutting Theme 2: Satellite Remote Sensing will map and monitor the impact and solutions of climate change in Southeast Asia region.

About EOS-RS

The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) at Nanyang Technological University in Singapore invites applications for a Research Fellow / Scientist / Engineer to support CTP Cross Cutting Theme 2 (Satellite Remote Sensing). The EOS-RS teams' research covers SAR, multi/hyper-spectral remote sensing, LiDAR, and GNSS data for disaster response and hazard monitoring for earthquakes, volcanoes, and impacts of climate change.

About the Role

EOS is a University Research Institute at Nanyang Technological University that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies.

EOS-RS and CTP welcomes applications for the Research Fellow position from qualified candidates who have interests and expertise relevant to the use of remote sensing for mapping, monitoring, and understanding the causes and effects of climate change. We are particularly interested in candidates who have expertise in analysing and interpreting satellite remote sensing data from Synthetic Aperture Radar (SAR) and multi/hyper-spectral sensors for measuring ground deformation, mapping surface changes due to disaster events, and mapping ocean colours and ocean topography for carbon flux estimates.

We are also interested in candidates who have experience applying machine learning to InSAR and other remote sensing observations.

Key Responsibilities:
  • Analyse and interpret remote sensing data to understand natural hazards/disasters across Southeast Asia
  • Develop and conduct research projects both independently and in a team
  • Write up research results for publication in peer-reviewed journals and present results at conferences
  • Help to mentor PhD students and Research Assistants/Associates
Job Requirements:
  • Ph.D. in Earth science, geophysics, geodesy, physics, electrical engineering, natural hazards, computer vision, machine learning, image processing, deep learning or a related field
  • Demonstrated expertise in processing SAR data (with open-source tools such as ISCE or GMTSAR) for surface deformation measurement and change mapping
  • Strong track record of publishing research relevant to the position in Tier 1 journals
  • Excellent English language and communication skills is essential to conduct research
  • Independence in research direction and team spirit
  • Ability to write code using Python or MATLAB
  • Desire and ability to work as part of a multicultural team
  • Demonstrated ability for creating intellectual value


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