Job Description

High quantities of near surface carbon are known to be stored in tropical peatlands. However, most peatlands are remote and difficult to access due to swampy conditions, and persistent clouds often obscure the targets in optical remote sensing data. This project aims to develop and automate new techniques to quantify tropical peatland carbon stocks and changes in those stocks, by precisely measuring their topography and deformation using remote sensing observations from modern spaceborne Synthetic Aperture Radar (SAR; ALOS-2, L-band) and Light Detection and Ranging (LIDAR; GEDI, ICESat-2) missions. We will calibrate these observations using ground truth measurements and airborne LiDAR data in Brunei. The project will produce a tool for upcoming satellite SAR missions (NISAR by NASA-ISRO and ALOS-4 by JAXA, both L-band), with the aim to subsequently build a near-real-time peatland monitoring system for Southeast Asia.

This project requires both fieldwork experience and quantitative/data analysis skills to explore multiple remote sensing data sets. It will involve the compilation of several spatio-temporal satellite products and multiple airborne lidar data sets. The positions are available from now to 30-Jun-2024. Salary will be commensurate with experience, and it will be aligned with the NUS salary scale. An annual bonus, dependent on performance, is also potentially available, in-line with NUS policy.

Responsibility

The Research Fellow will lead the development of implementation workflow, fieldwork protocol and preparation. It also involves project and data management tasks, including but not limited to data collection, cleaning, and validation. S/he will work closely with the PI to ensure the requirements of project work plan are met.

ABOUT THE INSTITUTIONS

The QS World University rankings place NUS in the top 15 universities in the world and number one in Asia. In the same rankings the Department of Geography is generally ranked among the top 10 Geography programmes globally. Further information on the Department is available at:

Hiring Procedures

Further enquiries can be directed to Asst. Prof. Hao TANG. More information can be found at:

Interested applicants are invited to submit: i) a letter of interest, ii) a Curriculum Vitae and iii) the contact details for two references via email to .

Qualifications

• A minimal of Master degree (PhD preferred) in Geography, Remote Sensing and Photogrammetry, Earth System Science, Ecology, Environmental Science, or a related field
• Fieldwork experience in the tropics (a must for RF/RA #1)
• Excellent programming techniques (a must for RF/RA #2)
• Strong quantitative data analysis
• Good oral and written communication skills
• Prior experience in publishing in peer-reviewed scientific journals

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Block AS2-03-01
Organization: National University of Singapore
Department : Geography
Employee Referral Eligible:
Job requisition ID : 19295

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