20 statistics positions at Swedish University of Agricultural Sciences in PhD in Sweden
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Department of Forest Resource Management The Department of Forest Resource Management conducts teaching and research in the areas of Forest Remote Sensing, Mathematical Statistics Applied to Forest
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sources including field experiments and agricultural statistics. The PhD student will use and develop biophysical models of nutrient flows in agri-food systems, from farm to fork, to assess how different
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education credits. Qualifications You should have an MSc degree in microbiology, ecology, bioinformtics, or a subject relevant for the position. Skills in statistical, database management and scripting
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sciences, hydrology, statistics, applied mathematics, agronomy, or related fields. Written and oral proficiency in English is required. Interest and previous experience in developing mechanistic models
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for implementation of the ongoing environmental analysis programs National forest assessment, National
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N content, greenhouse gas exchange, water quality analyses Documented experience of (co-)authoring academic publications Proficiency with data synthesis and statistical analysis. Valid driver’s
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Analysis and LCA, as well as Biometrics (statistics and mathematics with applications in biological systems). Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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. The credits can be in ecology, engineering, earth and environmental sciences, hydrology, statistics, applied mathematics, agronomy, or related fields. Written and oral proficiency in English is required
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. Advanced knowledge related to statistical analyses, an understanding about the Swedish food system and about behavioral approaches will be of merit. Personal merits will play a significant role in the
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forward and to work well in a team. Advanced knowledge related to statistical analyses will be considered of merit, as will an understanding about the Swedish food system. Personal merits will play a