Phd Fellow in Geo-ai for Fine-scale Ecosystem Accounting

NINA
Høgskoleringen 9, 7034 Trondheim
Om jobben
Type ansettelse
Engasjement, heltid 100%
Arbeidsspråk
Norsk
Antall stillinger
1
Søk senest onsdag 15. april
As nations and corporations move to implement frameworks like the UN SEEA-EA (System of Environmental-Economic Accounting), CSRD (Corporate Sustainability Reporting Directive), and ecological compensation/offsetting schemes, there is an urgent need for high-resolution, standardized spatial data. Ecosystem maps and other spatial data layers are typically too coarse, while direct observation data are too sparse to capture the fine-scale heterogeneity required for precise impact assessments and no net loss calculations.
This project aims to develop novel deep learning workflows to map ecosystem extent and condition at a fine scale. A core focus will be moving beyond raw pixel classification by leveraging embedding vectors from modern foundation models to create robust, semantic representations of the No...