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Job Description
The successful candidate will be responsible for leading specific research programmes in remote sensing technology and applications. They are expected to continuously enhance the scientific knowledge of the Centre and participate actively in remote sensing technology development and application projects. We are specifically looking for candadiates to lead the following projects:
1. Monitoring Water Quality and Harmful Algal Blooms in Singapore Coastal Waters with Multispectral and Hyperspectral Satellite Data.
Experience and expertise in the following areas will be advantageous:
* Theory and applications of ocean colour remote sensing and ocean optics.
* Retrieval of water quality parameters from in-situ and satellite data.
* In-situ measurements of sea water optical properties.
* Radiative transfer simulations (e.g. with Hydrolight code) of water reflectance.
* Atmospheric correction of satellite data.
* Machine learning and artificial intelligence techniques for remote sensing applications.
2. Forest Biomass Estimation Using Spaceborne Polarimetric Synthetic Aperture Radar Data.
Experience and expertise in the following areas will be advantageous:
* Theory and applications of polarimetric synthetic aperture radar.
* Estimation of forest biomass from satellite data.
* Airborne, spaceborne Lidar for vegetation studies.
* Regional land cover/vegetation/biomass mapping.
* Land use and land cover change.
* Machine learning and artificial intelligence techniques for remote sensing applications.
Qualifications
- A Doctoral Degree in Science, Engineering, or in other relevant disciplines with research experience in remote sensing or related fields.
Other qualities we are looking for:
* Good knowledge of advanced digital data/image processing techniques and applications
* Experience and skill in scientific and engineering computing
* Ability to develop and implement data/image processing and/or machine learning algorithms
