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(Construct, Bioengineering, Compute, Electro, and Health Technology) and involves supervisors from both DTU and Novo Nordisk. What you can expect As a PhD, you will be at the heart of a vibrant and
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of increasingly renewable energy systems. The ideal candidate will have experience or an interest in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and
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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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Job Description Are you interested in developing novel machine learning methodologies that are scalable, reliable and explainable and that can address imminent challenges? Responsibilities and qualifications As our new colleague in our research team your job will be to develop novel...
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist to apply machine learning techniques to a combination of experimental data and simulation results,...
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, Computer Science, or related discipline, or a similar degree with an equivalent academic level. Application procedure To apply, please read the full job advertisement by clicking the 'Apply' button Read more
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DTU, Department of Civil and Mechanical Engineering , the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of process induced defects and the resultant fatigue life of metal additive manufactured samples. The project is part of a...
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, which are utilized for efficient, non-destructive inspection, damage characterization, damage evaluation, and health monitoring of wind turbine structural elements and components. We develop tools and
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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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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