Research Scientist (A) - Remote Sensing Technology & Applications
External
National University Of Singapore · Lower Kent Ridge Road, SingaporePrepare for this interview
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Requirements
- A Doctoral Degree in Science, Engineering, or in other relevant disciplines with at least 8 years of research experience in remote sensing or related fields.
- Ability to lead a team of researchers as a Principal Investigator in various research projects.
- Other qualities we are looking for:
- In-depth knowledge of advanced digital data/image processing techniques and applications
- Solid experience and skill in scientific and engineering computing
- Ability to develop and implement data/image processing and/or machine learning algorithms
Additional Information
Interested applicants are invited to apply directly at the NUS CareerPortal. Please note your application will only be processed if you apply viaNUS Career Portal. NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Scientist-%28A%29-Remote-Sensing-Technology-&-Applications/32601-en_GB/ We regret that only shortlisted candidates will be notified. Job Description The successful candidate will be responsible for leading research programmes in remote sensing technology and applications. He/she is expected to continuously enhance the scientific knowledge of the Centre and participate actively in remote sensing technology development and application projects. Experience in one or more of the following research areas will be advantageous: * Atmospheric remote sensing : Atmospheric radiation, aerosols and clouds, particles/gases transport/dispersion modeling. * Aquatic remote sensing: Ocean optics, water quality, bathymetry and sea bottom characterization. * Terrestrial remote sensing: Regional land cover/vegetation/biomass mapping, biomass burning, land use/Land cover change. * Sensing technology and applications: Synthetic aperture radar, hyperspectral imaging, high resolution 3D modelling and precision mapping. * Machine learning and artificial intelligence techniques for remote sensing applications.
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