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The scholarship for the PhD degree is subject to academic approval, and you will be enrolled in the PhD degree programmes at DTU’s Department of Technology, Management and Economics. For information about our
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. Qualifications You should have completed a two-year master's degree (120 ECTS points) in Civil, Architectural, Environmental, Electrical, Mechanical or Industrial Engineering, Autonomous Systems, Computer Science
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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deformation. Responsibilities Develop scientific machine learning methods in close collaboration with team members specializing in experimental techniques and materials science. Utilize unique experimental data
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and verbal communication skills in English. Fulfill the requirements of the PhD school at the faculty of engineering For further information, please visit www.sdu.dk/ime and https://www.sdu.dk/en
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group specializes in experimental quantum technologies spanning quantum information processing, quantum communication, and precision sensing. In this PhD project, you will work at the forefront of solid
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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field of social science A demonstrated interest and/or experience in rural, agricultural, and/or environmental issues A high proficiency in Danish, corresponding to C1 or C2 in the Common European