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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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Mechanical, Production, Materials, Industrial or Robotics Engineering, Computer Science, or related discipline, or a similar degree with an equivalent academic level. Application procedure To apply, please
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to current literature and published in conference and journal articles. You are required to have an excellent academic background and must have a strong knowledge of production engineering technologies and
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universities, and three research and technology organizations—you will be at the forefront of shaping the future. This PhD project offers you the opportunity to develop cutting-edge competencies in digital
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engineering challenge. Key to success will be the development of cost competitive and reliable methods to produce hydrogen via electrolysis of water/steam driven by green electricity. Hydrogen can be used as a
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Department of Electrical and Photonics Engineering (DTU Electro) at www.electro.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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technology spaces can foster embodied and epistemic engagement with scientific practices – helping students not only understand complex concepts and procedures in the short term, but also develop deeper
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Photonics 17, 386–392 (2023). About the Quantum and Nanophotonics section at DTU Electro The Department of Electrical and Photonics Engineering has nearly 300 employees of which around 200 research different