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16th August 2026 Languages English English English The Department of Industrial Economics and Technology Management has a vacancy for a PhD Candidate position: Hybrid AI-Optimization for Dynamic and
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-neutral industries, with a particular focus on the interaction between AI data centers, direct air carbon capture (DAC), district heating networks, and other industrial processes that can effectively
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("Advanced Wide Bandgap-based Power Processing and Management for Future Space Exploration") is a Horizon Europe MSCA Doctoral Network Joint Doctorate (DN-JD) initiative developed in collaboration with
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confidence in the measurements and establish traceable validation routes. Optimize the methods for realistic converter operating conditions and communicate practical guidance to academic and industrial users
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retrieve shapes, overlay errors, and other geometrical parameters of the target using methods ranging from local and global optimizers to priors and neural networks developed by partners in the project. Job
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brings together expertise in energy informatics, optimization, data science, social sciences, and governance to develop trusted data-sharing solutions for the heat transition. Within the project, you will
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-to-confidence set conversion' framework recently proposed by the PI (Principal Investigator). The models of interest include deep neural networks with multiple layers and non-linear activations, extending recent
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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-neutral industries, with a particular focus on the interaction between AI data centers, direct air carbon capture (DAC), district heating networks, and other industrial processes that can effectively
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catalyst structure–performance relationships. The most promising catalysts will then be optimized and evaluated under practically relevant electrolysis conditions, contributing to the development of a