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the Innovation for Delft Engineering Education (IDEE) initiative, on the theme “Students taking responsibility for their own learning process”. For this post-doc position, you will investigate how learning in
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will pioneer novel physics-informed machine learning algorithms to formulate an optical link performance map. This groundbreaking project comprises two PhD positions and one postdoc position, led by
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contributing towards a new approach to fusion bonding, combining process and performance optimization by simulations of physical phenomena and process monitoring using artificial intelligence. This postdoc will
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Postdoc EUROGUARD: European Goal Based Multi Mission Autonomous Naval Reference Platform Development
physical vessel systems must be referenced and implemented in the vessel architecture so that the impact of design choices and new technologies can be made visible. This also means that differing naval
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bed gasification’’ is a collaboration between GIDARA Energy and TU Delft. The aim of the gasification process is to generate a syngas which, after cleanup and upgrading, will be suitable for fossil-free
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analytical and quantitative skills who enjoy computational data analysis, scientific discussion and collaboration. You must have a PhD degree in Earth sciences, physics, applied mathematics, engineering
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research in the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and Engineering Physics. We are also training the next generation of high
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and internationally diverse team of scientists with backgrounds ranging from molecular/cell biology and physics to mechanical engineering. Our drive is to push boundaries in our aim to visualise
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structural joining technique that enables efficient lightweight composite airframe design, a prerequisite for the transition towards more sustainable aviation. However, automation of the bonding process in
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these systems to process complex signals and make informed real-time decisions. The project will lay the foundations for understanding how human interaction with signal processing systems impacts transparency and