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regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This PhD position will combine
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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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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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framework offering optimal inspection and maintenance decision support. Explore additively manufactured structural concepts, including performance trade-offs for lightweight, fatigue- and corrosion-resistant
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, mathematical engineering, mathematics, or similar; - Solid mathematical and analytical skills, including mathematical optimization and information theory; - Solid knowledge and skills in machine learning
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. The position is offered in relation to the research program "Power Electronic Control Reliability and System Optimization" and the PhD Student will be positioned to the section for “Applied Power
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"Power Electronic Control Reliability and System Optimization" and the PhD Student will be positioned to the section for “Applied Power Electronic Systems”. How to apply Your application must include
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the electrical-thermal-mechanical behaviour of different integration and packaging technologies and to assess their impact on system performance and circularity trade-offs, including design optimization. Proof
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engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error