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large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences
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, fairness). Provenance and integrity of machine learning pipelines. Generative content authenticity. Cyber-physical machine learning systems. Scalability of properties from small to large models. In
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the Materials to Products (M2P) research group at the Department of Energy and Mechanical Engineering. In this position, you can make a large visible impact by advancing analytical, experimental, and
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immediately. Your role and goals Your main objective is to develop a simulation and optimization model of a large hydrogen valley operating in off-grid mode (having also an option for grid connection). As
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challenges of our time, with rising ideological divides and fragmented information ecosystems coinciding with increasing stress, anxiety, and declining well-being. Polarizing online content not only fuels
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professor that will be placed in the Energy Conversion and Systems research group at the Department of Energy and Mechanical Engineering. In this position you can make a large visible impact by advancing
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. At the same time, 20-50% of industrial energy is ultimately lost as waste heat. With the rising demand for computing power, data centers are producing increasing amounts of low-grade waste heat. Likewise, as
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and conferences (e.g. AOM, EGOS, AIB), and engages with different relevant stakeholders to contribute to the community and society at large. The department has a lively, international research community