The Asian School of the Environment is an interdisciplinary school that integrates Earth and environmental life science, ecology, engineering and technology, human ecology, humanities, and the social sciences to addressing key environmental challenges related to climate change, geohazards, sustainability and global environmental change, with a focus on Southeast Asia: https://www.ase.ntu.edu.sg/
The Earth Observatory of Singapore was founded with a mission to conduct fundamental research on earthquakes, volcanic eruptions, tsunamis and climate change in and around Southeast Asia, towards safer and more sustainable societies: https://earthobservatory.sg/
Duties and Responsibilities
The successful candidate will be part of a team at the Earth Observatory of Singapore (EOS) and Asian School of the Environment (ASE) at Nanyang Technological University who are working towards developing automated capabilities for remote-sensing based monitoring of natural hazards and mapping of natural disasters across Southeast Asia. The project will primarily use Synthetic Aperture Radar data. Specific targets may include flooding, land subsidence, volcano monitoring, tectonic deformation, coastal and land cover changes and earthquake studies. The project aims to provide timely information to regional decision makers and disaster responders across the region.
The job scope for this Research Fellow position will include (a) helping efforts towards the technical development and operation of the SAR 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) leading research projects that augment the capabilities of the system and our understanding of natural hazards in the region (e.g., development of new algorithms, incorporation of additional data types, exploration of machine-learning capabilities to improve the system, monitoring and modelling of hazards).
The ideal candidate will possess high-level knowledge of the principles and technical aspects of satellite-based radar remote sensing, geospatial analysis, and SAR, as well as a strong understanding of natural hazards and their impacts on land cover. 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. Ideal candidates will also have expertise in additional types of remote-sensing data, and will have demonstrated expertise in algorithm development for SAR and InSAR.
The position will be offered with a 2-year contract, with possibility for extension pending funding availability and performance.
The successful candidate must have completed a Ph.D. in a related field of Earth science, remote sensing, or natural hazards. They must be 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 (SNAP, GMTSAR, ISCE, ROI_PAC, etc.). They should have strong programming experience, including Python coding skills. Experience with projects that use very large data sets, machine learning, and/or data mining would be a plus.
The successful candidate will have very strong English and communication skills, both written and oral. They should have a demonstrated 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. They should have evidence of successful delivery of large-scale projects across geographies and stakeholders. They must have strong program management skills (intellectual thought leadership, project workflow planning, delivery in time and budget, trouble shooting, team management, etc.).
The minimum educational requirement is a Ph.D. in a related field (e.g., Geophysics, Geography, Earth Science, Geodesy, Geology, Disaster Response, or Computer Science).
Interested applicants should send a CV, list of publications, statement of research interests, and the names of three referees to firstname.lastname@example.org indicating Research Fellow – Geodesy and remote sensing
Kindly note that only short-listed candidates will be contacted for interview.