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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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MOFs and their hybrid materials. The primary objective is to explore the fundamental structure–property relationships that govern MOF vitrification and liquid-phase behavior, and to develop new MOF-based
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researchers. The successful candidates for these positions will join our team for further advances in this area and either focus on defining a climate breeding objective or developing a climate index. The work
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://wind.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
will be working with the overall objective of making active, durable and cost-effective electrodes for liquid alkaline electrolyzers for hydrogen production. Your primary tasks will be: Synthesis
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. The ideal candidate will demonstrate: Proven experience in thermodynamic modelling, thermo-economic analysis, and multi-objective optimization. Strong publication record in thermal conversion systems (e.g
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-objective optimization. Strong publication record in thermal conversion systems (e.g., Carnot batteries, heat pumps) and/or energy storage technologies. Proficiency with scientific tools such as EES, Modelica