帝国理工学院、香港教育大学博士招生项目推荐！

本期为大家推荐香港教育大学、帝国理工学院博士招生项目。

1 Imperial College London

帝国理工学院

帝国理工学院（英文：Imperial College London），是一所主攻理学、工学、医学和商学的研究型大学。帝国理工学院是金三角名校、罗素大学集团、欧洲研究型大学联盟、国际科技大学联盟、全球大学校长论坛参与院校，被誉为”G5超级精英大学“之一。

帝国理工学院历年来在最具影响力的泰晤士高等教育世界大学排名、QS世界大学排名、U.S. News世界大学排名、软科世界大学学术排名四大全球大学排名中均名列前茅。2023QS世界大学排名第6位；2022泰晤士高等教育世界大学排名第12位；2022U.S. News世界大学排名第20位。

帝国理工学院Dr. Jun Jiang课题组诚招全奖博士

导师信息：

Dr Jun Jiang (JJ), the supervisor (2022 Imperial College President Award for Excellence in Research Supervision), (h-index 36, 103 publications; 3500 citations), is a distinguished Senior Lecturer at the Dept. of Mech. Eng., Imperial College London, and is emerging as a leading figure and rising star in solid welding. New Ideas: JJ devised an innovative Hybrid Solid-state Extrusion Roll Welding Additive Manufacturing (AM) Technology, addressing high-strength aluminium alloys' AM hot cracking issues. JJ also pioneered a groundbreaking Hybrid AM and Hot Forge Welding Technology to solve the issues in remanufacturing. New Tools: JJ established a pioneering In-situ Thermal Micromechanical Testing-Characterisation Modelling methodology by winning £380k EPSRC equipment funding in 2020.

Combined with JJ’s expertise in crystal plasticity finite element modelling, this novel methodology enabled the process-microstructure performance relationship to be established. New Knowledge: Studies on similar metal diffusion welding and dissimilar metal (Fe-Al) forge welding, provide valuable new scientific insights, as published in esteemed journals such as Acta Mater., Int. J. Mach. Tools Manuf. Recognitions: JJ's exceptional academic performance has been recognised through the Imperia College President's Medal for Outstanding Research Team (2022): and the Imperial College President's Award for Outstanding Early Career Researcher (2018). Furthermore, the proposed transformative solid welding technique won the 1st position of ~30 teams at the 2023 Fusion Manufacturing Challenges.

项目组介绍：

Dr Jiang's group at Imperial College has invented a ground-breaking solid-bonding technology that seamlessly integrates cold bonding with diffusion bonding, all in open-air conditions. This innovative method has demonstrated exceptional results such as maintaining base metal properties with minimal deformation. Its advantages encompass high joint strength, precision, cost-effectiveness, scalability, and much more, earning its 1st place in the Fusion Manufacturing Challenges 2023 at TechConnect, Washington.

招生要求:

Idea candidates should be passionate, self-motivated, and meet the academic prerequisites for enrolment for the PhD degree at Imperial College London. Possession of a 1st class honours degree in Mechanical/Material Engineering, or a related field is essential. The student should demonstrate robust project and communication skills and possess a keen interest in advanced manufacturing welding, mechanics of materials and materials science.

申请方式：

For any further details about this position, please get in touch with Dr Jun Jiang atjun.jiang@imperial.ac.uk. Prospective applicants should forward an updated CV to Dr Jiang. Suitable candidates must complete an electronic application form at Imperial College London, ensuring their credentials are assessed by the College Registry.

奖助学金

Potential funding mechanisms: CSC-Imperial Scholarship, Imperial College President Scholarship, Mechanical Engineering Departmental Scholarship+CSC, or from other government and private funding sources

Applications are invited for a research studentship in the field of advanced manufacturing technologies, leading to the award of a PhD degree. The position is supported by various industry stakeholders, including Commonwealth Fusion Systems, UKAEA, Alfa Laval, SMT and British Geal Associate. emphasising its significant industrial relevance and potential.

2 EDUHK

香港教育大学

香港教育大学，简称EDUHK，是中国香港以师范教育为本的大学，是香港八大名校之一，也是京港大学联盟、粤港澳高校联盟、粤港澳高校智慧校园联盟、东亚教师教育国际联盟等联盟成员。在2023年QS世界大学学科排名中，教育领域名列亚洲第4，世界第21。

香港教育大学徐贯东讲座教授团队招若干带奖博士研究生

导师信息：

徐贯东教授现担任香港教育大学人工智能讲座教授、数据科学与人工智能中心（UDSAI）主任及教学科技中心（LTTC）主任。其研究领域涵盖人工智能在教育的应用、社会计算、图学习、推荐系统、人工智能等。

近年来，徐教授在KDD、SIGIR、WebConf、NeurIPS、CVPR, IJCAI、AAAI、TKDE、TOIS、TNNLS等大数据分析及人工智能领域顶会顶刊发表学术论文超220篇，他目前担任Springer Nature下的Human-centric Intelligent Systems期刊主编和World Wide Web 期刊副主编。

研究方向：

人工智能教育及应用、图学习及推荐系统、人工智能内容生成、社会计算等数据科学与人工智能相关领域

招生要求: