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西交利物浦大学联合培养项目博士招聘 机器学习、材料工程及骨水泥方向
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Integrated computational materials engineering methodology development for customization of bone cement 个性化骨水泥集成计算材料工程方法开发 培养方式：西交利物浦大学 + 长三角先进材料研究院 联合培养 培养地点：苏州 博士导师: Dr Engui Liu (西交利物浦大学); Dr Weijian Han (长三角先进材料研究院); Dr Shiyao Huang (长三角先进材料研究院); Dr Hyung-Joon Seo (英国利物浦大学)。采用产教研深度融合的联合导师机制。 博士学位授予单位：英国利物浦大学 培养资助：全额奖学金（抵扣学费折合80000元/年）；博士培养期间，额外提供5000元/月生活补助。 入学要求： 学术要求： 申请者需为机械工程、材料工程或相关领域。熟悉CAD、CAE等相关软件，具有用户定义的子程序开发经验（如UMAT、VUMAT）和数据分析经验，最好具有材料的微观结构表征技能（ microstructural characterization skills）。 英语语言成绩要求： 雅思6.5分（单项不低于5.5分） 或同等水平托福、PTE成绩。 Project Description Bone cement is a crucial material for the artificial vertebral body in treating osteoporosis. There is a definite need to design mechanical properties of bone cement according to the unique features of each osteoporotic vertebral. This project aims to develop an integrated computational materials engineering methodology for bone cement customization. To achieve this goal, experiments will be conducted to reveal the relationship between bone cement compositions, microstructure, and mechanical properties. A representative volume element (RVE) model will be developed, and finite element simulation will be carried out to predict the properties of bone cement with different compositions. On the other hand, a multiscale model will be developed to predict vertebral properties. Then it will be integrated into an optimization framework to guide composition design according to the features of each osteoporotic vertebral. The ultimate objective of this project is to develop an integrated computational materials engineering methodology for bone cement customization and provide guidance to design the compositions and mechanical properties of bone cement according to the unique features of each osteoporotic vertebral. The study procedure is intended to be the following to achieve this grand goal: Measure the mechanical properties of each constituent element. Build up a model to predict vertebral properties according to features of each osteoporotic vertebral. Establish a database for bone cement. Build up a multiscale computational model to guide composition design according to features of each osteoporotic vertebral. Establish the relationship between bone cement compositions and mechanical properties. Optimize the design of bone cement compositions according to specific mechanical properties requirements of bone cement. Key Words: Bone Cement, Machine Learning, Finite Element Analysis, Representative Volume Element, Multiscale Modelling 西浦学术导师 XJTLU principal supervisor Doctor Engui Liu received his BSc degree in Materials Chemistry from Changzhou University, his MS in Materials Engineering from Tongji University, and his PhD in Civil Engineering from New York University in 2014. After his PhD completion at NYU, he joined the Engineering Division at New York University Abu Dhabi and served as Lecturer and Senior Lecturer in the Civil and Environmental Engineering program from 2013 to 2019. In Fall 2019, Dr Liu returned to China and joined Xi'an Jiaotong-Liverpool University as an Assistant Professor of Civil Engineering. Dr Liu works on green chemistries and the mechanics of cement and cementitious materials. He also focuses on multiscale materials' microstructural characterizations with advanced experimental and computational instruments. 集萃产业导师 JITRI co-supervisor Doctor Huang Shiyao is the Senior R&D Director of the Yangtze River Delta Institute of Advanced Materials. He received his PhD from Shanghai Jiao Tong University in 2011. He was the R&D supervisor of Ford Motor's Nanjing Engineering Research Center and a senior research engineer at Midea's Manufacturing Technology Research Institute. His research interests include integrated computational materials engineering, materials big data, manufacturing digitalization, and whole life cycle assessment of material processing. Doctor Weijian Han, PhD in Mechanical Engineering, University of Tulsa, USA. He was the Director of R&D for Ford Motor Asia Pacific, where he has presided over and completed more than 100 Ford University R&D projects, published eight automotive engineering professional series, and published more than 40 academic papers in the areas of lightweight material manufacturing and simulation, characterization and testing, connectivity technology and simulation, intelligent manufacturing, sustainable energy system analysis and environmental science. In 2019, Dr Han joined the Yangtze River Delta Institute of Advanced Materials as a business director, dedicated to constructing a big data platform for industrial application materials and developing data-driven algorithms and software. 投递简历或项目课题相关问题请联系导师： Dr Engui Liu（西交利物浦大学, XJTLU principal supervisor） Email: engui.liu@xjtlu.edu.cn Dr Shiyao Huang（长三角先进材料研究院, JITRI supervisor） Email: huangsy@jitri-amrd.com 博士申请相关问题请咨询研究生院： 邮箱：DoctoralStudies@xjtlu.edu.cn 电话：0512-81889001转3 申请材料： 博士研究课题申请书 中、英文完整成绩单 中、英文学位证明 学信网学历认证/境外学历认证 英语语言成绩证明 英文个人陈述 两封推荐信 |
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