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 specifically looks at the processing and analysing of point cloud data mainly from airborne LiDAR (ALS) but potentially also from terrestrial and mobile sources (TLS & MLS). The goal of the project is to uncover the efficacy of using airborne LiDAR data to develop a suite of national level vegetation indices capable of long term tracking and monitoring of vegetation quality, density, planting intensity and other suitable characteristics.
Although a background in landscape ecology, geography or even landscape architecture is helpful, the work is expected to lean heavily on mathematical, statistical and quantitative analysis of the LiDAR data to not only develop but also validate the developed indices.
The findings from this will pave the way to reconsider how vegetation is measured, tracked and planned for at the city and national scale.

Key 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 various forms LiDAR scanners, airborne, mobile or terrestrial. 
•    Develop and test various vegetation indices that allow the measurement of various characteristics (height, quality, intensity, etc).
•    Coordinate research activities, including research meetings, sharing of findings and so on.
•    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 any other related field.
•    Strong research background in programming, statistics, computational analysis and if possible environmental awareness.
•    Prior experience working with LiDAR or point cloud data will be a definite bonus.
•    Excellent project management, writing, and communication skills.
•    Ability to work independently and collaboratively in a multidisciplinary research environment.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Architecture

Employee Referral Eligible: No

Job requisition ID : 29936