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of the scholarship is not allowed to have other paid employment during the three-year period (the 5+3 programme ). Further information about the PhD programme at the Faculty of Science can be found at the homepage
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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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mechanics (nonlinear beam theory, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming
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proposed starting time is August or September 2025. The appointment will be made at a competitive salary and will follow the PhD study programme at the Faculty of Science. Application deadline: 18 June 2025
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of research results in scientific journals and conferences. Qualifications: Good understanding of solid mechanics and preferably modeling of damage and/or fracture. Experience with experimental work and data
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findings through scientific publications and presentations at international conferences. We are looking for a candidate who: Think creatively and approaches problems with an open, computational mindset. Is
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-matter interactions for applications in sensing, optical communications, and quantum technologies. The scientific environment at our department is vibrant and highly collaborative with world-class
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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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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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-suited for this PhD position, highlighting your scientific background, programming skills, motivation, and commitment (details matter). Specific examples will help clarify how your qualifications align