8 machine-learning-and-image-processing PhD positions at Swedish University of Agricultural Sciences
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measurements to the results of existing techniques using backscatter to quantify forest attributes through synthetic aperture radar imaging. The overall project, spanning multiple institutions, aims to produce a
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/thesis: Challenges and opportunities with remote sensing and machine learning in forestry Research subject : Soil science Description: WIFORCE Research School Do you want to contribute to the future
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, which is crucial for rutting, using machine learning. Second, we will develop new systems to integrate data from radar and lidar sensors mounted on drones and forestry machines to improve future real-time
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. Applicants must meet specific English language proficiency requirements. For further information see: www.universityadmissions.se In the recruitment process we will put great emphasis on the candidate’s
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to communicate in Swedish is considered an asset, but is not a requirement. If the candidate does not have proficiency in Swedish at the time of appointment, he/she is expected to acquire the language during
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student is supposed to learn how forestry works and to conduct tasks independently. It will also create opportunities to connect research to applications in operational work. Qualifications: We are looking
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teach bachelor, Masters and PhD level courses addressing all of these subject areas. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu
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ability to work independently, flexibility, ability to prioritize and meet deadlines, curiosity and willingness to learn, and organizational skills. Place of work: Uppsala, Sweden Forms for funding