Forest Carbon Data Scientist – Geospatial & Remote Sensing
Singapore
Listed on 2026-08-30
-
Research/Development
Research Scientist, Biology
Job Title:
Research Associate (Biological Sciences)
University-Level Unit:
Science
Faculty/Department-Level Unit:
Biological Sciences
Employee Category:
Research Staff
:
Kent Ridge Campus
Posting
Start Date:
29/05/2026
Job Description
The Centre for Nature-based Climate Solutions (CNCS) at the National University of Singapore invites applications for the position of Research Associate, who will contribute to research and implementation of forest carbon accounting approaches in Southeast Asia. The appointment is for an initial period of one year with the possibility of renewal and is expected to begin as soon as possible.
The successful candidate will support the development of robust and policy-relevant approaches for estimating forest carbon stocks, integrating field inventory and remote sensing datasets (e.g., optical, radar, and LiDAR). The role will involve data analysis, workflow development, and supporting technical outputs related to carbon accounting and nature-based climate solutions.
The Main Responsibilities Of The Position Include
- Support the development and application of forest carbon accounting methodologies using field and remote sensing datasets
- Conduct geospatial data processing, analysis, and modelling
- Assist in developing data processing workflows and analytical pipelines
- Support the integration and management of large ecological and geospatial datasets
- Assist in designing and implementing field surveys and data collection campaigns
- Contribute to technical reports, documentation, and research manuscripts
- Provide support for project coordination, including collaborations with partners
- Provide administrative support for research-related activities (e.g., procurement, permits)
Master’s Degree in Natural Science, Climate Science, Geography, Data Science, Engineering, or a related field with at least 2 years’ relevant work experience.
Skills
- Experience handling and analysing geospatial datasets
- Experience applying remote sensing to ecological or environmental systems
- Proficiency in R and/or Python for data analysis
- Experience with data processing, visualisation, and statistical analysis
- Strong organisational and problem-solving skills
- Ability to work independently and as part of a team
- Willing to work flexible hours and take on extra duties as required
- Experience processing and analysing remote sensing data (optical, LiDAR, SAR)
- Experience integrating field and geospatial datasets
- Experience conducting or supporting field surveys (e.g., forest inventory)
- Experience working with environmental or ecological datasets
- Experience with LiDAR-derived forest structure metrics
- Experience with UAV-based remote sensing or terrestrial laser scanning
- Experience working on carbon accounting, MRV systems, or nature-based climate solutions
- Familiarity with carbon standards and methodologies (e.g., Verra, Gold Standard, ART-TREES)
- Experience contributing to technical reports or documentation
The QS World University rankings regularly place NUS in the top 15 universities in the world and number one in Asia. The NUS Centre for Nature-based Climate Solutions is the focal point for world-class research and thought leadership on climate change impacts and solutions in service of society. The Centre aims to deliver new knowledge and solutions to inform policies, strategies and actions by producing credible, salient and legitimate science that informs nature-based climate strategies and actions, building capacity and empowering leadership and communicating and engaging with the wider society.
APPLICATION PROCEDURE
Interested applicants should submit the following by 15 June 2026:
- Cover letter
- CV
More Information
Location:
Kent Ridge Campus
Organization:
Science
Department :
Biological Sciences
Employee Referral Eligible:
No
Job requisition : 33101
Req #J-18808-Ljbffr
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).