Role Overview
You will sit within a national space agency or geospatial department, working at the intersection of satellite data, applied science, and policy. On a day-to-day basis, you will acquire and process Earth observation imagery, turn raw satellite signals into usable information for sectors like agriculture, disaster response, and land management, and train others to use this data effectively. Your work directly influences how the country monitors its environment, plans infrastructure, and responds to climate-related risks, so accuracy and a service-oriented mindset are essential.
Key Responsibilities
- Operationalise Earth observation workflows: ingest raw satellite imagery, perform radiometric and geometric corrections, run classification algorithms, and produce thematic maps for internal and external users.
- Draft and update technical guidance documents, standard operating procedures, and national strategies that govern how Earth observation data is shared, archived, and reused across government bodies.
- Design and deliver hands-on training workshops for analysts and decision-makers, covering satellite data access, open-source processing tools, and application-specific use cases.
- Maintain a well-organised data catalogue with proper metadata, version control, and storage redundancy, ensuring that historical and current space-derived datasets are retrievable on demand.
- Run needs-assessment studies with stakeholders across water, agriculture, forestry, and urban planning to identify what data products they lack, then translate those gaps into procurement or development requirements.
- Coordinate with international partners, research institutions, and private industry to pilot new Earth observation applications and test emerging satellite constellations.
- Track and document potential risks in data continuity, server capacity, and user access policies, proposing mitigation measures to senior management.
- Support the full lifecycle of internal research projects, from literature review and algorithm prototyping to field validation and published technical reports.
Requirements & Qualifications
- Bachelor's degree in physics, astronomy, astrophysics, aerospace/aeronautical engineering, remote sensing, GIS, geospatial engineering, surveying, civil/electrical/electronics/mechanical/telecommunications/software engineering, information technology, computer science, control and instrumentation, or a closely related field from an accredited university.
- At least 3 to 5 years of applied experience in remote sensing, digital image processing, satellite data analysis, or a directly equivalent geospatial role.
- Demonstrated proficiency in mainstream computer applications, including spreadsheet-based data handling, presentation tools, and preferably scripted analysis environments such as Python, R, or JavaScript for Earth engine.
- Hands-on familiarity with common Earth observation software and platforms, such as QGIS, ArcGIS, SNAP, ENVI, or Google Earth Engine, as evidenced by completed projects or samples of work.
- A track record of delivering reliable analytical outputs under deadlines, with strong attention to metadata standards and data quality.
- Excellent written and verbal communication skills, enabling you to explain technical concepts to non-specialists and prepare concise technical reports.
- Ability to work independently, prioritise multiple tasks, and collaborate effectively within multidisciplinary teams.
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