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ecological footprint reduction, and economic viability into consideration, when developing the solutions. This project aims to achieve these objectives by applying digital technologies, such as AI, robot, and
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scientifically rigorous research while working effectively in a multidisciplinary team. Good written and spoken English. Experience with some of the areas of electrolyzer technologies, digital twins, model order
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of electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration
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to think independently, is under threat from growing reliance on artificial intelligence (AI) technology. While designed to assist, AI recommendations may inadvertently impede cognitive reasoning and steer
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) for education and professional practice, both at the individual level and/or in collaborative contexts. The project should explore how AI and other emerging digital technologies shape and transform work tasks
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
project, Augmenting the STEM classroom by ESS digital twins. The ACCESS project is funded by the Novo Nordisk Foundation, and it is a collaboration between DTU – Technical University of Denmark, University
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perspective Familiarity with design-based, quantitative, qualitative, or mixed-methods educational research A solid foundation in digital research and/or learning technologies, experience working with
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that extend human cognitive, affective, and collaborative capabilities in digital environments. Our research examines how emerging digital technologies, such as artificial intelligence, social computing, and
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areas (e.g., political science, sociology, social work, history, criminology, IT-management, or related fields), and who is equally comfortable working “natively” with AI technologies and/or digital
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7 Aug 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Compute Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1