Research Assistant (Sea level and Geodetic Monitoring)

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 assist with the development and operation of a regional sea level and earth hazard monitoring initiative comprising the use of InSAR, GPS, tide gauge, and other remote sensing data throughout Southeast Asia. The target of the monitoring system is both long- and short-term changes in sea level due to land height changes and ocean processes that can result in hazards to coastal communities. The job scope will include (a) processing of remote sensing data (InSAR and GPS) using existing computational tools, (b) development and documentation of tools to facilitate future large-scale processing, (c) visualization and analysis of the remote sensing data using geographic information systems (GIS) and other techniques, and (d) coordination and collection 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 remote sensing including GPS and InSAR, as well as a strong understanding of natural hazards. They should have experience and willingness to participate in 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. They should also be willing to undertake occasional fieldwork (up to several weeks) in the region.


B.S. in a related field (e.g., Geophysics, Earth Science, Geodesy, Geology, or Computer Science).
Completed or nearly completed a B.S. and will ideally research experience in a related field of earth science
Skilled in the use of Geographic Information Systems (GIS) for the purpose of monitoring and understanding natural hazards.
Has experience or willingness to learn at least one open-source InSAR processing software (GMTSAR, ISCE, etc.) and a GPS processing software (GAMIT/GLOBK, GIPSY/OASIS).
Have good programming experience, with one of the languages ideally being Python or Matlab.
Strong English and communication skills, both written and oral.
Strong organization and task management skills, be independent and self-motivated, and be able to work effectively as part of a team.

Interested applicants should submit a CV, cover letter that describes research interests and goals, and names of three referees to