We’re an award-winning team backed by the Ministry of Higher Education and Science and the European Space Agency, and we’re on a mission to decode biodiversity in complex ecosystems using cutting-edge satellite and acoustic data.
Right now, we’re zoomed in on Dyrehaven, a historic forest-park just outside Copenhagen, and we need YOU to help us build our NDVI pipeline using Sentinel-2 imagery - with the help of the Github codes that are already in our possession.
Design and deploy a robust pipeline to process Sentinel-2 imagery (NDVI, RGB, etc.)
Analyze vegetation dynamics in forest-park ecosystems, contributing to real-world biodiversity intelligence
Collaborate with an ambitious team scaling from apple orchards and greenhouses to forests worldwide
Help us make sense of ecological complexity - your work will feed directly into science and scalable impact
Deep experience with remote sensing tools and Sentinel-2 data
Proven NDVI computation experience (bonus if you’ve worked with time-series, cloud masking, or mosaics)
Strong skills in Python, GEE, rasterio, or similar
Passion for nature, data, and making your code count for something more than just pixels
You’ll work on a meaningful, funded mission with global scaling potential
Flexible hours, remote setup — we care more about your brain than your location
Opportunity to collaborate with researchers, AI specialists, and acoustic ecologists
Your work will directly shape how we scale sustainable forestry and protect biodiversity in the age of climate change
Send us your portfolio, GitHub, or just a message showing us how YOU would tackle Dyrehaven’s green canopy.
Let’s map the forest — from space. 🌲🛰️
This job comes with several perks and benefits