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University of Hamburg

Research Associate for the Project “Carbon Dynamics and climate futures in drylands of Suthern Africa” § 28 Subsection 3 HmbHG

Posted: Oct 19, 2025

Job Description

The Cluster of Excellence “Climate, Climatic Change, and Society” (CLICCS) investigates climate dynamics and climate-related social dynamics, as well as the interactions between the two. To this end, we are looking for colleagues from a wide range of disciplines, including the natural sciences as well as the social sciences. We are proud to work together in a truly integrating manner. Our partners, e.g., the Max Planck Institute for Meteorology, Helmholtz Centre Hereon or the German Climate Computing Centre are also hiring. All jobs: https://www.cliccs.uni-hamburg.de/career/jobs.htmlYour responsibilitiesDuties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications. They may also pursue doctoral studies outside of working duties.conduct research on remote sensing–based quantification of soil and biomass carbon and vegetation–climate–land-use interactions in Southern African drylandsdevelop and apply machine-learning methods to link optical/SAR/hyperspectral/UAV spectral data with carbon pools at tree, plot, and regional scales; produce spatially explicit indicators for model integrationco-develop robust Earth Observation workflows (data curation, pre-processing, QA/QC, uncertainty analysis) and contribute remote-sensing–derived inputs to ecosystem and climate models (e.g., ICON, EPIC)collaborate with colleagues across disciplines (e.g., anthropology, modeling) to ensure alignment of remote sensing products with stakeholder scenarios and agent-based modelingprepare peer-reviewed publications, present research at international conferences, and contribute to reporting and data management (FAIR)Your profileA university degree in a relevant field.by the time of submitting application the applicant must have completed Master’s degree in Geography (with focus on Remote Sensing) or in another related field (with focus on Remote Sensing, Earth Observation, or Data Sciences)proven skills in satellite data analysis (e.g., Sentinel-1/2, Landsat)proven skills in Python and/or R, and statistics/Machine Learning for geospatial dataexperience with SAR and/or hyperspectral data and time-series analysis; UAV experience is a plusfamiliarity with carbon cycle concepts and interest in linking EO with ecosystem/climate modeling is a plusability to work independently and in interdisciplinary in international and interdisciplinary team; strong scientific writing and communication in EnglishWe offerReliable remuneration based on wage agreementsContinuing education opportunitiesUniversity pensionsAttractive locationFlexible working hoursWork-life balance opportunitiesHealth management, EGYM WellpassEducational leave30 days of vacation per annumUniversität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future in a digital age” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.The University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.

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