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great advantage: Forest and wood production processes Wood construction Furniture manufacturing Wood material science Machine learning Process simulation and optimisation The postdoctoral fellow is part
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of bioadhesives to better predict and optimise the production process and product properties, and thus ultimately expects to enhance the efficiency of the production process in different wood and fibre-based
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of such products. The work involves conducting a life cycle inventory, on-site observations in the wood and adhesive processing industries, and engaging with stakeholders for the sustainability and climate impact
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) and how it is influenced by distinct light conditions. The research strategy includes field studies and enrichment experiments to examine photoheterotrophy-related process rates and genes
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to the indoor climate in wood buildings, (iv) energy efficiency in the production processes of wood-based products and timber structures, (v) acoustic performance of timber buildings. The research is based
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and information science, interaction design, or has equivalent scientific competence. Equivalent scientific competence generally refers to a degree from a foreign university with essentially the same
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applied machine learning projects in, e.g., computer vision, in close collaboration with industry partners. The position is not connected to an existing project, so the postdoc fellow will either join an
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electronics, signal processing, wave propagation and control engineering. Research collaboration takes place with other departments, including Mechanical Engineering, Computer Science and Media Technology and