We're hiring. Join the Skeye team.

Full-time · B’Kara, Malta (hybrid-friendly)

You will turn satellite and aerial imagery into insights that agronomists, environmental scientists and public authorities can act on. You will work across our research areas crop identification, soil health and agronomy, desertification, and land-use monitoring, helping shape a platform supported by the European Space Agency.

What you’ll do

• Design and validate remote-sensing workflows (e.g. Sentinel-1/2, Landsat, aerial imagery) for crop identification, soil health and land-degradation monitoring.
• Translate agronomic and environmental questions into Earth-observation products: vegetation indices, change detection, classification models.
• Work with our engineers on training data, ground-truthing and model validation.
• Analyse field variability to support fertilisation planning and crop-management recommendations.
• Contribute to research on desertification and vacant & derelict land detection.
• Communicate findings clearly to farmers, agronomists and authorities.

What we’re looking for

• Degree in agronomy, environmental science, remote sensing, geography or a related field (MSc/PhD is a plus).
• Hands-on experience with satellite imagery and GIS, including vegetation indices such as NDVI.
• Solid understanding of agronomy, crop physiology or environmental-monitoring practice.
• Python or R for geospatial analysis (e.g. GDAL, rasterio, Google Earth Engine).
• Clear written and spoken English.

Nice to have

• Experience with ESA programmes or funded research projects.
• Machine-learning classification or time-series analysis of EO data.
• Background in soil science or land-degradation studies.