15 agent-based-modelling PhD positions at Swedish University of Agricultural Sciences
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for multiuse purposes, addressing issues on climate change adaptation and high-versus low intensity forestry. We use empirical and process based modelling, with input data from the National Forest Inventory and
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biotechnology solutions based on scientific breakthroughs. www.SweTree.com Spray-induced gene silencing for control of damage agents SIGS (spray-induced gene silencing) is a promising biologically-based
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in bioacoustic technology, such as passive acoustic monitoring (PAM), now enable efficient study of vocalizing species like birds and bats. Combining PAM with occupancy modeling allows for large-scale
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) analysing the effects of different trade-offs between timber production and biodiversity under the influence of climate change, and 3) developing optimisation models based on heuristic and AI-based methods
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/thesis: Industry-/collaboration PhD student in optimized off-road driving in forests Research subject: Soil science Description: We are looking for an industry/collaboration-based PhD student to develop a
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will be based at the Department of Applied Animal Science and Welfare (THV) at the Swedish University of Agricultural Sciences (SLU) in Uppsala. Practical experiments will take place at the SLU Lövsta
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) qualification. Alternatively, you must have conducted a minimum of four years of full-time study, of which a minimum of one year at second-cycle level. Applicants will be selected based on their written
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financial compensation. We have four specific goals: Identify evidence-based opportunities and challenges to the practice of payments for biodiversity, and forest ecosystem trade-offs Assess landowners' and
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, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se/WIFORCE/en ), was created. We are looking for an industry/collaboration-based PhD student in remote sensing to develop methods
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. Alternatively, you must have conducted a minimum of four years of full-time study, of which a minimum of one year at second-cycle level. Applicants will be selected based on their written application and CV