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charlesliye新蟲 (小有名氣)
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英國南安普頓大學(xué)博士全獎 - 地外建造 - 力學(xué)/土木/機械
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AI-Driven Solar-Laser Hybrid Sintering for Lunar Regolith Metamaterials 郵件聯(lián)系 ye.li@soton.ac.uk 申請鏈接：https://www.findaphd.com/phds/pr ... amaterials/?p188674 Building structures on the moon or mars is no longer science fiction, it is an engineering frontier. future space missions will require infrastructure built in situ from local materials, rather than transporting heavy supplies from earth. This phd project aims to decode the process-microstructure-property relationships in laser-sintered regolith and develop ai-assisted predictive models for their mechanical behaviour. the project bridges materials science, mechanics, and artificial intelligence, positioning the student at the cutting edge of space manufacturing and sustainable infrastructure research, pioneering materials that could one day support human life on the moon. What's in it for you? - Conduct pioneering research in space construction materials within the university of southampton's world-class laboratories for materials testing and data-driven engineering - gain hands-on experience with advanced microscopy (sem, xct), nano-/micro-mechanical testing, and ai modelling - join an interdisciplinary team spanning civil, mechanical, and material engineering, and collaborate with international partners in regolith processing and lunar infrastructure - build highly transferable skills for careers in materials research, ai-assisted design, or aerospace and construction innovation. Required qualifications: - you must have a uk 2:1 honours degree or its international equivalent in mechanical engineering, civil engineering, mechanics - high motivation, self-direction, and a proactive approach to research - excellent communication and teamwork skills for effective collaboration. - ielts 6.5 (or equivalent) for non-native english speakers Preferred qualifications: - experience in particle bed 3d printing, cementitious materials, micromechanics, machine learning, or characterization - proficiency in coding and computational tools (e.g., matlab, python, fea, cad) - strong academic writing skills for producing high-quality research papers - prior involvement in research projects |
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