Geospatial Data Scientist

2h2 hours ago

The University of Queensland

AU · Full-time · A$114,824 – A$136,049

About this role

We’re looking for a talented Spatial/Geospatial Scientist to drive innovation in drone-based data pipelines and analysis. You’ll collaborate with leading e-research partners, access world-class computing resources, and develop cutting-edge solutions in remote sensing and spatial data. Reporting to the Drone CRP Director enhances impact.

Work with the RCC to ensure data and metadata from multispectral, hyperspectral, and LiDAR sources are reliably parsed, indexed, stored, and extracted. Automate data ingestion, processing, and delivery workflows including versioning and quality control protocols. Ensure all data assets are Findable, Accessible, Interoperable, and Reusable (FAIR) with ISO 19115 metadata.

Develop analytical tools and machine learning for object detection, change detection, classification, and spectral indices like NDVI and NDRE. Collaborate closely with the Centre Director, drone pilots, and researchers to deliver tailored solutions. Prepare technical documentation, reports, presentations, and provide field campaign support with travel.

This research-focused platform academic position offers leadership in knowledge transfer, partnerships, and commercialisation. Supervise HDR students, build teams, and engage in major funding applications. Demonstrate responsible research conduct and develop supervisee capabilities for broader impact.

Requirements

Experience processing remote sensing data types including multispectral, hyperspectral, and LiDAR
Proficiency in machine learning for geospatial tasks like object detection, change detection, and classification
Knowledge of spectral indices such as NDVI and NDRE for remote sensing analysis
Expertise in automating data pipelines with versioning, quality control, and FAIR principles
Familiarity with metadata standards like ISO 19115 for geospatial data management
Ability to develop analytical tools and routines for extracting insights from spatial data
Background in drone-based data workflows and remote sensing applications

Responsibilities

Work with the RCC to ensure data and metadata can be reliably and automatically parsed, indexed, stored and extracted for multispectral, hyperspectral, and LiDAR data
Automate data ingestion, processing, and delivery workflows with data versioning and quality control protocols
Ensure all data assets are Findable, Accessible, Interoperable, and Reusable (FAIR) following ISO 19115 metadata schema
Develop analytical tools and machine learning techniques for object detection, change detection, classification, and spectral indices like NDVI and NDRE
Advise and collaborate with researchers and external partners on effective analytical methods
Work closely with the Centre Director, drone pilots, and researchers to understand data requirements and deliver solutions
Prepare technical documentation, reports, and presentations on findings and methodologies
Provide support during field campaigns and travel to conferences and stakeholder meetings