Doctoral Researcher (f_m_x) - Forest Carbon Attribution from Earth Observation and Atmospheric Const
Core
PhD research combining satellite observations, carbon-cycle models, and atmospheric measurements to quantify forest carbon sinks and their management impacts.
Role type
Doctoral Researcher (PhD)
Builds
Observation- and model-based products for the WMO Global Greenhouse Gas Watch and Copernicus CO2 monitoring service.
Domain
Climate science, Earth Observation, Carbon Cycle
Deliverable
production ML models
Required skills
Python, geospatial data analysis, quantitative data analysis, model simulation, atmospheric inversion, greenhouse-gas accounting
Preferred skills
Terrestrial carbon cycle science, ecosystem modelling, Xarray, Dask, cloud-based geospatial data analysis, national greenhouse-gas inventories
Technologies
Python, Xarray, Dask, FLUXCOM-X, Earth Observation datasets
Responsibilities
Translate high-resolution EO forest datasets into model-ready inputs; Quantify forest management and disturbance contributions to CO2 exchange; Assess atmospheric CO2 observation constraints; Improve representation of managed forests in flux products; Derive national forest carbon budgets; Publish research results.
Seniority
PhD Candidate
