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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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scientists covering a broad range of expertise in photonics and electronics. The Project in Short The project focuses on developing numerical modeling and optimization tools to explore the information
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is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Civil and Mechanical Engineering develops and
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to material, cutting tools and parts production. The PhD project will therefore focus on the development of an integrated system combining direct and indirect tool wear monitoring for reliable residual life
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process. An integral part of the project will be the development of enhanced data-driven physics methods to achieve reliable prediction of material removal rate and material removal distribution
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-edge motion planning and control for next-generation autonomous underwater vehicles (AUVs). As part of a dynamic, interdisciplinary team, you will contribute to the development of an innovative AUV
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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academic groups and industrial entities in Europe and it addresses the development of a process chain targeting valorization of carbon dioxide to algal proteins. We, at DTU Chemical Engineering, will focus
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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create a closed loop pipeline able to rapidly design binders to any target and optimized for developability. The program is rooted in DALSA (DTU’s Arena for Life Science Automation), a new