Research Associate

Job Description

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Research Associate (Biological Sciences)

University-Level Unit:

Science

Job Title: Research Associate (Biological Sciences)

University-Level Unit: Science

Faculty/Department-Level Unit: Biological Sciences

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 20/12/2025

Job Description

The Centre for Nature-based Climate Solutions (CNCS) at the National University of Singapore (NUS) is seeking is seeking a highly motivated Research Associate to support and improve carbon stock estimations in tropical forests. The appointment is for an initial period of one year with the possibility of renewal.

The Main Responsibilities Of The Position Include:

Conduct literature reviews, data collection and analysis

Organise and coordinate a team to perform fieldwork sessions

Survey and report aboveground carbon stocks in terrestrial forest habitats using methods such as but not limited to:

Tree inventory methods

Terrestrial Laser Scanning (TLS)

Drone flights to collect Light Detection And Ranging (LiDAR) and/or photogrammetry data

Contribute to the design and creation of workflows for carbon monitoring

Assist in preparing research manuscript and reports

Provide general administrative support on research-related matters such as equipment procurement and budget reporting

Assist with other related duties and responsibilities as required to support the team and the Centre

Qualifications / Discipline:

Master’s degree (Life Sciences, Environmental Studies, or related field preferred)

Skills

Interest in pioneering/ improving methods for carbon monitoring and reporting

Strong problem-solving skills, self-motivated, able to work independently as well as in an interdisciplinary team

Proficiency in R, python or other coding languages for data analyses

Tree species identification skills would be highly advantageous

Proficiency in QGIS, CloudCompare, DJI Terra and other remote sensing software would be advantageous

Experience

At least 2 years’ relevant work experience, and good knowledge, skills and expertise in relevant field

Comfort working for long hours in tropical forest environments

Forest inventory work including DBH measurement, tree tagging and height measurements

Remote sensing data collection and LiDAR data processing would be advantageous

Application Procedure:

Interested applicants should submit the following by 12 Jan 2026:

Cover Letter

Curriculum vitae

Contact information for three referrals

Only shortlisted candidates will be contacted.

More Information

Location: Kent Ridge Campus

Organization: Science

Department : Biological Sciences

Job requisition ID : 31201

Apply now