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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design
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in recruitment. If you find the position interesting but do not think you meet all our requirements, apply anyway—you could be the ideal candidate for us. You must have a two-year master's degree (120
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reporting in English Creative, proactive and independent thinking Prior experience in research in the form of student projects, and capability to work in an interdisciplinary manner are a plus. The successful
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systematic phases: first, establishing a robust data foundation; second, designing a modular and open digital platform; and third, developing a predictive maintenance application as a proof of concept
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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-small silicon nanocavities [Babar2023, Rosiek2023] with extreme light-matter interactions. We aim to combine fundamental theory, device design, and our unrivalled capabilities in high-resolution silicon
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: Theoretical understanding of photonic integrated circuits. Additionally, we expect that you: are academically curious and think deeply and creatively. have a strong internal drive and take responsibility
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(a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of
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welcome candidates with varied experiences and educational pathways. DTU Wind works with an inclusive mindset in recruitment. If you find the position interesting but do not think you meet all our