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for the position go to www.ruc.dk/en/job/ Only applications in English are accepted. Applications must include: 1. Cover letter 2. CV 3. Documentation of education including grades from Master’s programme or
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institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1
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passionate about working in a team. You will lead the publication of results in high-impact scientific journals. You have a strong background in physics, geophysics, materials science, computation, engineering
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computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
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, geophysics, materials science, computation, engineering, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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the experimental team co-supervise BSc and MSc student projects As part of the Danish PhD program, you will also take PhD courses, participate in teaching, conduct an external research stay, and disseminate your