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data infrastructure and clouds in digitally mediated natural resource extraction and exploitation). The position is for three years, with the possibility of extension for teaching activities
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. Candidates are invited to apply for a three-year PhD Research Fellowship associated with the DataMines project (Governing data infrastructure and clouds in digitally mediated natural resource extraction and
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for scientific data acquisition (e.g., mapping missions). Background knowledge in drone or satellite-based LiDAR remote sensing. Experience in workflows for drone data processing (e.g., Agisoft Metashape, Cloud
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
aims to design and implement a cloud-based architecture for storing and managing maps and associated sensor data, enabling data sharing across multiple robots and missions. It will focus on compact data
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detailed imagery, but only under cloudfree conditions. Synthetic aperture radar (SAR) can deliver highquality images regardless of cloud cover, but such systems are expensive. Our main research question is
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machine-learning frameworks, Language model customization and agentic AI frameworks, Cloud platforms Written and spoken English proficiency. International candidates that are not exempt from
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, land, and land-atmospheric processes, and our research areas include radiative forcing, climate sensitivity to future emissions, the role of gases, aerosols, clouds, land cover and vegetation, and