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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
We are pleased to announce a self-funded PhD opportunity for Quantitative assessment of damage in composite materials due to high velocity impacts using AI techniques. Composite materials, such as
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technologies. This PhD explores how ultrasound aligns particles and controls crystallisation to create materials with tailored anisotropy. Using experimental acoustics, modelling, and advanced characterisation
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composites toward a new generation of smart structures with built-in sensing and intelligence. By integrating optical fibre sensors directly into composite materials and combining them with physics-based
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28 Mar 2026 Job Information Organisation/Company CNRS Department Matériaux Ingénierie et Science Research Field Engineering Physics » Acoustics Engineering » Materials engineering Researcher Profile
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steel tube, and a sustainable concrete infill incorporating recycled waste tyres. The scope of this project includes optimisation of the geometric and material properties of the composite column
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and validation of compositions identified by the modelling. Applicants should have, or expect to achieve, at least a 2.1 honours degree or Master’s (or international equivalent) in Chemistry, Materials
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the distributions and stable isotopic composition of plant waxes and the relative abundance of bacterial membrane lipids (brGDGTs). The PhD students will integrate their results with complementary climate proxies and
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sustainability. This PhD project aims to develop new ionic conducting materials as next-generation membrane alternatives for fuel cell and electrolyser applications. Ceramic ion conductors present a promising
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, Composite Materials, Chemistry, or related disciplines Strong background in materials characterization, polymer chemistry, or natural fiber composites is highly desirable Knowledge of lignin chemistry
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the distributions and stable isotopic composition of plant waxes and the relative abundance of bacterial membrane lipids (brGDGTs). The PhD students will integrate their results with complementary climate proxies and