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challenges. This PhD project aims to advance the efficient, controllable, and optimized use of renewable energy by integration of advanced TES technologies (latent heat and thermochemical storage) in
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for industrial decarbonization with emphasis in system development, modelling, optimization and validation, and focus on: Develop thermally integrated storage and conversion systems, including Carnot batteries and
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of energy and a large part of this energy is used for conditioning indoor environments. There is a global need to identify heating, cooling and ventilation (HVAC) solutions that create optimal indoor
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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designing, optimizing, and demonstrating an integrated MD–PEM system. The position will focus on tailoring operational parameters for both processes to achieve stable, high-efficiency hydrogen production from
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Job Description Are you interested in putting science in direct benefit of society? We are offering a full PhD fellowship to explore how AI, Mathematical Optimization, and Game Theory can be used
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purification, and enzyme characterization, with the goal of understanding and optimizing enzymatic systems for lignin modification and valorization. This position lies at the dynamic interface between
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be applying methods such as sensitivity analysis, robust optimization, and stochastic modelling as you work on your project. You will be seconded with the Chalmers University of Technology (Sweden) and
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collection. Evaluate protein content, nutritional value, and functional properties of yeast biomass in various fermentation processes. Develop and optimize both liquid fermentation strategies offering high
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components modelling, optimization, and integration to achieve high-efficiency and high-power-density converters for various power electronics applications. We need a professor in Power Magnetics to strengthen