Research Fellow (Ecology/Geography/Statistics)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A prominent academic institution in Singapore is seeking a highly motivated Research Fellow to join their team, focusing on the project 'Development of 3D Vegetation Quality and Intensity Indices'. This position involves managing research projects, conducting data analysis using LiDAR technology, and developing national level vegetation indices. Ideal candidates will hold a doctoral certificate in relevant fields and possess strong programming and statistical skills, with previous experience in point cloud data being an advantage.

Qualifications

• PhD in Geospatial Sciences, Computer Sciences, Architecture, Environmental Sciences, or related fields.
• Strong research background in programming and statistics.
• Experience with LiDAR or point cloud data is a bonus.

Responsibilities

• Manage and execute the research project.
• Conduct literature reviews and data analysis.
• Work with research partners to understand requirements.
• Develop and test vegetation indices using LiDAR data.
• Prepare research reports and academic publications.

Skills

Programming

Statistical analysis

Computational analysis

Project management

Communication skills

Education

Doctoral certificate (PhD or equivalent) in relevant fields

Tools

LiDAR technology

Point cloud data analysis tools

Job description

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and qualified Research Fellow to join our research team on the project titled “Development of 3D Vegetation Quality and Intensity Indices”. This project focuses on processing and analysing point cloud data mainly from airborne LiDAR (ALS) and potentially from terrestrial and mobile sources (TLS & MLS). The goal is to develop a suite of national level vegetation indices capable of long-term tracking and monitoring of vegetation quality, density, planting intensity and other characteristics. The work leans heavily on mathematical, statistical and quantitative analysis of LiDAR data to develop and validate the indices. Findings from this work aim to inform how vegetation is measured, tracked and planned for at city and national scales.

Responsibilities

• Assist the Principal Investigator (PI) in managing and executing the research project.
• Conduct literature reviews, data handling, and analysis using various research methodologies.
• Work with research partners from various governmental sectors to understand their requirements.
• Uncover efficient methods to work with point cloud data derived from LiDAR scanners, including airborne, mobile or terrestrial sources.
• Develop and test various vegetation indices to measure characteristics such as height, quality, and intensity.
• Coordinate research activities, including research meetings and dissemination of findings.
• Prepare research reports, presentations, and academic publications.
• Manage project budgeting, procurement, and resource allocation.
• Assist in supervising graduate students where applicable.
• Contribute to knowledge dissemination through conferences, workshops, and seminars.

Qualifications

• A doctoral certificate (PhD or equivalent) in Geospatial Sciences, Computer Sciences, Architecture and Urban Planning, Environmental Sciences, Geography, Landscape Ecology, or related fields.
• Strong research background in programming, statistics, computational analysis and, if possible, environmental awareness.
• Prior experience working with LiDAR or point cloud data is a definite bonus.
• Excellent project management, writing, and communication skills.
• Ability to work independently and collaboratively in a multidisciplinary research environment.