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GFZ Helmholtz Centre for Geosciences
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Doctoral Researcher in Forest Carbon Attribution Using Earth Observation and Atmospheric Constraints GFZ Helmholtz Centre for Geosciences in Germany
Degree Level
PhD
Field of study
Environmental Science
Funding
The position is part-time at 75% (currently 29.25 hours per week), fixed-term for 36 months with a possible extension to four years subject to funding. It is classified in salary group 13 under TVöD Bund, with the salary determined according to the collective wage agreement and the candidate's qualifications. Public-service benefits are included.
Deadline
Dec 2, 2026
Country
Germany
University
GFZ Helmholtz Centre for Geosciences
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About this position
The GFZ Helmholtz Centre for Geosciences is offering a doctoral research position in forest carbon attribution from Earth observation and atmospheric constraints within its Remote Sensing and Geoinformatics section in the Geodesy department.
The PhD project will investigate how forest management, disturbances, and recovery processes influence the land carbon dioxide budget across different spatial and temporal scales. The research will combine satellite observations, carbon-cycle models, carbon-flux estimates, and atmospheric measurements to develop an independent assessment of forests’ role in the climate system.
The position forms part of EUFOR-G3W, a Horizon Europe project contributing to the World Meteorological Organization’s Global Greenhouse Gas Watch. Within this project, the researcher will develop and apply harmonised Earth observation datasets covering forest biomass, forest age, disturbance history, and vegetation productivity. These datasets will be translated into model-ready inputs while preserving important spatial information and integrated into the FLUXCOM-X empirical flux-upscaling framework.
The work will quantify the effects of forest management and disturbance on forest CO₂ exchange, assess how atmospheric CO₂ observations can constrain these signals, derive national forest carbon budgets, and compare them with greenhouse-gas inventory reporting. Results will support operational greenhouse-gas monitoring systems, including the WMO Global Greenhouse Gas Watch and the Copernicus CO₂ monitoring service.
The successful candidate will be supervised by GFZ and Wageningen University and Research, in collaboration with the Max Planck Institute for Biogeochemistry in Jena. They will work closely with a second PhD candidate in the group of Wouter Peters at Wageningen, creating a complementary link between Earth observation, forest and atmospheric modelling, and data assimilation.
The research environment provides access to global forest Earth observation datasets, cloud-native analysis infrastructure, forest ecosystem models, atmospheric inversion systems, and collaboration with leading European research groups within the EUFOR-G3W consortium. The position is based at the Albert Einstein Science Park on the Telegrafenberg in Potsdam.
Funding details
The position is part-time at 75% (currently 29.25 hours per week), fixed-term for 36 months with a possible extension to four years subject to funding. It is classified in salary group 13 under TVöD Bund, with the salary determined according to the collective wage agreement and the candidate's qualifications. Public-service benefits are included.
What's required
Applicants must hold an MSc in Earth Sciences, Environmental Sciences, Physical Geography, Atmospheric Sciences, Remote Sensing, or a related quantitative field. Strong quantitative and data-analysis skills, proficiency in Python, and experience with geospatial or large environmental datasets are essential, along with good written and spoken English and the ability to work collaboratively in a multi-institutional research environment. Desirable experience includes terrestrial carbon-cycle science, ecosystem modelling, Earth observation of forests, atmospheric inverse modelling, greenhouse-gas accounting frameworks, Xarray, Dask, cloud-based geospatial analysis, national greenhouse-gas inventories, or LULUCF accounting.
How to apply
Apply exclusively through the online application form by 2 December 2026. Submit a CV including three bullet points describing what excites you about the project, along with certificates and grades.
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