Geospatial Research Analyst

LeafIoT Technology Limited 樹聯綠碳科技有限公司; Hong Kong; On-site; HKD 420,000 - 620,000; Full time

Job summary

LeafIoT Technology Limited 樹聯綠碳科技有限公司 seeks a Geospatial Research Analyst to join our applied research and technology team. You will bridge spatial data science, urban forestry management, and climate-resilient urban design, analyzing sensor data, LiDAR, satellite imagery, and spatial topologies to evaluate canopy health and inform spatial strategies for international smart green city projects.

This role requires collaboration with multidisciplinary teams, regular communication with cross-border

Qualifications

• Master’s degree or Bachelor’s with significant research experience in Geomatics, GIS, Urban Forestry, Landscape Architecture, Urban Planning, Remote Sensing.
• Advanced proficiency in GIS ecosystems and spatial programming.
• Experience processing remote sensing imagery (Sentinel, Landsat, Planet) or cloud-based spatial engines (Google Earth Engine).
• Understanding of urban ecosystem services and urban spatial analytics.

Responsibilities

• Conduct spatial modeling of urban canopy, biomass, and microclimate mitigation strategies.
• Fuse IoT sensor data, satellite imagery, LiDAR into coherent spatial models.
• Collaborate with urban designers to translate geospatial insights into master-planning parameters.
• Author research papers, briefs, and deliverables outlining methodologies and outcomes.
• Coordinate with international partners and oversee site deployments.

Skills

Geospatial analysis

GIS (QGIS, ArcGIS Pro)

Python (geopandas, rasterio, shapely,x

Education

Geomatics / GIS / Remote Sensing focus

Tools

QGIS

ArcGIS Pro

Python

R

Google Earth Engine

ENVI-met

i-Tree Eco

Grasshopper/Ladybug

Job description

Role Overview

We are seeking an intellectually curious, agile Geospatial Research Analyst to join our applied research and technology team. In this role, you will bridge spatial data science, urban forestry management, and climate‑resilient urban design. You will analyze environmental sensor datasets, LiDAR, satellite imagery, and spatial topologies to evaluate urban canopy health, model microclimatic impacts, and develop evidence‑based spatial strategies for international smart green city projects.

This is a research‑driven role requiring close collaboration with multidisciplinary teams, regular communication with cross‑border stakeholders, and opportunities for short‑term work or site assessments abroad.

Key Responsibilities

Applied Research & Spatial Analytics

• Urban Canopy & Forest Modeling: Conduct spatial modeling on urban tree populations, canopy coverage dynamics, biomass estimation, and microclimate mitigation (e.g., urban heat island buffering, stormwater interception).
• Sensor & Spatial Data Fusion: Synthesize diverse data layers—including real-time IoT environmental sensors, multi-spectral satellite imagery, drone survey data, and terrestrial/aerial LiDAR point clouds - into coherent spatial models.
• Urban Design Integration: Collaborate with urban designers, arborists, and landscape planners to evaluate proposed development scenarios and translate geospatial insights into actionable master-planning parameters.
• Academic & Technical Authorship: Formulate research hypotheses, conduct rigorous literature reviews, and author white papers, technical briefs, and grant/project deliverables detailing methodology and outcomes.

Global Collaboration & Field Exposure

• Cross-Border Project Delivery: Interface with overseas academic partners, government agencies, and municipal stakeholders across international project sites.
• Site Visits & Overseas Deployment: Conduct scheduled overseas site visits to oversee spatial survey deployments, calibrate local data collection frameworks, and evaluate ground conditions.

Communication & Knowledge Sharing

• Stakeholder Translation: Synthesize complex spatial statistics and machine learning/GIS workflows into clear visual dashboards, presentations, and non-technical summaries for public and executive audiences.
• Rapid Tool Adoption: Quickly evaluate and integrate emerging spatial computing frameworks, remote sensing platforms, and open-source geospatial toolchains into the team’s research pipeline.

Candidate Qualifications

Category

Requirements

Education

Master’s degree or Bachelor’s with significant research experience in Geomatics, GIS, Urban Forestry, Landscape Architecture, Urban Planning, Remote Sensing, or a related quantitative field.

Technical Core

• Advanced proficiency in GIS ecosystems (QGIS, ArcGIS Pro).
• Strong spatial programming skills in Python (geopandas, rasterio, shapely, xarray) or R (sf, terra).
• Experience processing remote sensing imagery (Sentinel, Landsat, Planet) or cloud-based spatial engines (Google Earth Engine).

Domain Knowledge

• Understanding of urban ecosystem services, tree risk assessment frameworks, or dendrological metrics.
• Familiarity with urban spatial analytics and environmental simulation tools (e.g., ENVI-met, i-Tree Eco, Grasshopper/Ladybug).

Soft Skills & Mobility

• Communication: Outstanding bilingual/multilingual verbal and written presentation skills; confident in pitching research findings to external stakeholders.
• Learning Agility: Proven capacity to independently learn new software libraries, sensor protocols, or spatial methodologies on short cycles.
• Global Mobility: Willingness and valid documentation to travel and work abroad periodically for international research phases and site workshops.