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innovative solutions for future communication networks and sensing-enabled services. Job description The successful candidate will contribute to research on energy-efficient network design, optimization, and
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mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization. Your mathematical, analytical and problem-solving
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and material properties, and proposing optimized growth parameters. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree
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activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Read more: https://wise-materials.org The employment This employment is a
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employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the
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manufacturing techniques is the key to improved heat transfer mechanisms and more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level
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on modelling, optimization, control, and AI applications for smart buildings. The work includes collaboration with international research and industrial partners, publication of scientific articles, and
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are research in optimization and simulation of manufacturing systems. Teaching or other administrative tasks may be included up to 20 percent. The position requires: completed a PhD in mechanical engineering
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation