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, welfare distribution, and operational feasibility. The objective of this PhD project is to develop new knowledge, models, and analytical insights into how future electricity market designs can support the
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1st August 2026 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Plastics Pollution Modelling and Life Cycle Assessment Apply
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, you will train AI models to recognize abnormal performance patterns, quantify quality-adjusted service life, and autonomously recommend whether a system needs maintenance, recalibration, or a capacity
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on AI-empowered asset management using drone inspections and available asset management historical data. The aim is to enhance the asset and network resilience of ports by training an AI model on ferry
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element simulations, blast loading models, propagation of pressure waves in the ground and soil–structure interaction analyses to establish methods for assessing the protective capacity of existing
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research within and beyond academia. The PhD candidate will contribute to furthering the development of key ecological impact models within the field of life cycle assessment. IndEcol is a pioneer in the
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. The project offers opportunities to contribute to research with strong relevance for the decarbonization of industry, while gaining expertise in modelling, analysis, and potentially experimental investigation
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technologies and modeling society’s use of materials. IndEcol combines world-class competence in Life Cycle Assessment (LCA), Input-Output analysis (I/O), and Material Flow Analysis (MFA) with scientists
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models differ and how variations in administrative capacity, regulatory design, risk exposure, and public–private collaboration contribute to these differences. The project aims to identify institutional
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environmental pollution associated with human activities, assessing the environmental aspects of different technologies and modeling society’s use of materials. IndEcol combines world-class competence in Life