Research Fellow (Remote sensing rapid disaster response)

The Earth Observatory of Singapore (EOS) at NTU is a national science Research Centre of Excellence. Its mission is to conduct fundamental research on earthquakes, volcanic eruptions, tsunami and climate change in and around Southeast Asia, toward safer and more sustainable societies. We seek a qualified candidate to help to design and coordinate a near-real-time, partially automated Interferometric Synthetic Aperture Radar (InSAR) processing and response system to facilitate geodetic research, monitoring of natural hazards and disaster response. Specific targets may include flooding, land subsidence, volcano monitoring, tectonic deformation and earthquake studies across Southeast Asia. The job scope will include (a) leading efforts towards the technical development and operation of the processing system, (b) communication with stakeholders and policy makers across the region to make sure that products are most useful for disaster mitigation and response, (c) coordination and collection of a geospatial database of ground truth data for calibration and validation of the processing results.

The ideal candidate will possess high-level knowledge of the principles and technical aspects of satellite-based radar remote sensing, geospatial analysis and image classification, and InSAR, as well as a strong understanding of natural hazards. They should have expertise and experience with managing complex projects that involve multiple stakeholders, and enthusiasm to collaborate with a varied group that will include Earth scientists, social scientists, technical staff, policy makers, NGO’s, and disaster-response organizations


Completed a Ph.D. in a related field of earth science or natural hazards (e.g., Geophysics, Geography, Earth Science, Geodesy, Geology, Disaster Response, or Computer Science).
skilled in the processing and application of remote sensing data for the purpose of monitoring and understanding natural hazards, with experience in at least one open-source InSAR processing software (GMTSAR, ISCE, ROI_PAC, etc.)
Strong programming experience, including the use of Python scripting for geospatial analysis in a geographic information system (GIS) software, and the construction of geospatial database systems (e.g. PostgreSQL).
Confident in the use and optimization of parallel processing routines on both a high-performance Linux cluster and a cloud-based system
Experience with projects that work with very large data sets, machine learning, and/or data mining would be a plus
Strong English and communication skills, both written and oral
Ability to engage with different stakeholders across Asia, including science peers (in both Earth and social sciences), senior representatives from regional and international disaster relief agencies and governments, NGOs and business.
Have experience and evidence of successful delivery of large-scale projects across geographies and stakeholders
Strong program management skills (intellectual thought leadership, project workflow planning, delivery in time and budget, trouble shooting, team management, etc.).

Interested applicants should send a CV, list of publications, statement of research interests, and the names of three referees to