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Job Description If you are aspiring to shape the future of industrial R&D or academia - especially in the context of renewable energy and intelligent systems - this PhD position may be
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, synthesis, characterization and test for sustainable energy solutions We also have research activities in our three interdisciplinary centers relating to nuclear energy, catalysis, and visualization
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University of Munich (TUM) , focusing on cutting-edge research in digital health, wearable sensing, and embedded artificial intelligence. The Project title is ‘IoT-based Assisted Living’ and the main purpose
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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candidates will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an active, dynamic research group that combines bold research and a collaborative spirit. The
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November 2025. You will join the Sustainable Smart and Safe Mobility Unit at the JRC in Ispra, Italy for the first 2 years, and the Intelligent Transport Systems Section at DTU, Denmark for the last year
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based on both visual and tactile information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition
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information The postdoc will be hired at DTU Compute which harbors a strong international machine learning and artificial intelligence environment. In addition, the PI is an ELLIS member. Further information
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sustainable materials, (d) Artificial Intelligence (AI) models to predict and control the manufacturing process and (e) a Digital Twin (DT) incl. Building Information Modeling (BIM) information backbone
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. Motivation, tasks, and qualifications Electric power systems are undergoing a fundamental shift toward sustainability, intelligence, and resilience. In Denmark, the goal of cutting emissions by 70 % by 2030 is