Requirements Ongoing B.Sc. or M.Sc. studies in geosciences, environmental sciences, geography, agricultural sciences, computer science, or a related field at a German university Basic understanding of remote sensing and Earth observation data Familiarity with Python or R and interest in working with cloud-computing environments Ability to work independently, with attention to detail and good organizational skills

. Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d) The project MoorgrünFE aims to generate a set of indicators for grassland sites on drained peat soils or peat soils undergoing rewetting at different spatial scales (from plot level to regional level). These indicators are derived using different sensors (field spectrometer, drone with hyperspectral sensor, and satellite imagery) that can be a proxy of vegetation characteristics, soil condition, and land use. Tasks Support in processing satellite and UAV remote sensing data on cloud platforms Adaptation and optimization of existing EO workflows for large-scale or automated processing Assistance with preparing, cleaning, and organizing reference datasets for model training and validation Documentation and structured preparation of processing steps and results