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systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This PhD position will combine fieldwork in real-world architectural settings with human
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applications. Grid-interactive efficient buildings rely on emerging digital and cyber-physical systems to optimize HVAC operations for both energy efficiency and demand response. While Model Predictive Control
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aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship –to develop and support implementation strategies that address micronutrient
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, CO2 capture, and related fields. Experience with bioprocess optimization, gas-liquid fermentation, Knowledge about the multispecies interaction withing consortium and genome scale metabolic modelling
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experiments in the BRIGHT biofoundry. The following qualifications are essential: Knowledge of Pontryagin’s maximum principle and the related theory of open-loop optimal control of dynamical systems. Knowledge
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every qualification listed above. Stipend 2: Data-driven modeling and optimization for efficient and secure-by-design Power Electronics (Aalborg) The PhD position focuses on next‑generation power
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the
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engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in programming, e.g
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in the group of Niels Engholm Henriksen (https://www.kemi.dtu.dk/english/research/physical-chemistry ). You must have a solid foundation and interests in quantum chemistry, applied mathematics
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Marie-Skłodowska-Curie Action (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id