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focused on high-throughput microanalysis to reveal how tramp elements introduced during recycling impact microstructure and properties in aluminium mega-castings. About us The PhD position is placed
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development of high strength aluminium alloys designed to provide better performance compared with existing alloys. The properties of this alloy depend on careful control of the microstructure, in particular
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students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis. The NEST-WISE project offers a vibrant collaborative
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) and hydrogen (H) – which can synergistically modify the microstructure development in materials [5]. This PhD will reveal the key irradiation-induced microstructure phenomenon in RAFM welds using in
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of the manufactured welds Analyzing by advanced techniques the metallurgy of the heat effected zone to unravel microstructural secrets in these very special dissimilar material joints Interpreting all the obtained
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aluminium through AI-driven microstructural analysis. About us The PhD candidate will work at the Division of Data Science and AI , in the neuro-symbolic research group. This group works with combinations
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models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length
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capacity. Micromachined mechanical flow sensors, based on bending or moving microstructures, have been primarily used for specific applications, such as measuring turbulence, where small and fast sensor
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subsurface layers of components and even transform their microstructure, potentially introducing additional defects. Thus, assessment of these effects on structural reliability and durability of systems
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of recycled aluminium. More specifically, the project will focus on advanced numerical methods to understand how defects and different microstructures affect the strength of mega-cast components. As a PhD