8 machine-learning PhD positions at Swedish University of Agricultural Sciences in Sweden
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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Initiatives in Forest Research (WIFORCE) program. The successful applicant will work on the development of bioacoustic monitoring methods using automated recording units (ARUs), deep learning methods, and
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strong interest in agriculture and crop production. Good command of English, both written and spoken. Ability to communicate in, or willingness to learn, Swedish. Meritorious: Experience with field work. A
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to learn about isotope tracing techniques and explore how soil microbes respond to environmental stress. You will join a creative, supportive research environment with access to state-of-the-art isotopic and
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to collaborate and function well in a strong research environment, an interest in learning new things, and a willingness to individually develop the project in collaboration with the research group, as
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English, but learning Swedish is encouraged to participate in outreach and stakeholder events. The position includes a competitive salary and full benefits – including generous vacation time and parental
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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