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) invites applications for a 1‑year researcher position in remote sensing (possibility of extension). This role is aimed at candidates holding a PhD, prepared to lead project tasks and produce publishable
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to support the management of forest resources and ecosystems. The PhD candidate will focus on integration of the extensive amount of data collected by forest machines with remote sensing data to further
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13th November 2025 Languages English English English Would you like to explore AI methods for forest mapping? PhD scholarship: combining data from harvesters, remote sensing and AI to improve forest
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Master’s degree in machine learning, computer science, or a forest-related field with a focus on remote sensing Experience with deep learning The following experiences and skills will be emphasized
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learning, computer science, or a forest-related field with a focus on remote sensing Experience with deep learning The following experiences and skills will be emphasized: Experience working with data from
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on characterizing forest structure and biodiversity via Unsplash Professional qualifications (required) Master’s degree in machine learning, computer science, or a forest-related field with a focus on remote sensing