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| 【有獎(jiǎng)交流】積極回復(fù)本帖子，參與交流，就有機(jī)會(huì)分得作者 hire2020 的 18 個(gè)金幣 ，回帖就立即獲得 5 個(gè)金幣，每人有 2 次機(jī)會(huì) | |||
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[交流]
Advert for 3 year PhD, Liverpool UK (mainly based in China)
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A fully funded 3 year PhD studentship starting in the 4th quarter of 2020, to be awarded a PhD degree by the University of Liverpool UK and primarily based at Xi’an Jiaotong Liverpool University (XJTLU) in 蘇州Suzhou. Graduate entrance exam考研 is not needed. Successful completion of this PhD programme could lead to worldwide career opportunities in academia and high-tech industrial sectors like software, R&D, biomed, robotics and smart manufacturing alike. Scholarship: The PhD scholarship is available, covering tuition fees for 3 years (RMB 80,000 per year) and living expenses with a monthly stipend of RMB 5,000. It also provides up to RMB 16,500 for international conferences. The candidate is expected to carry out the major part of his or her research in the department of mathematical sciences XJTLU in Suzhou, China. However, he or she is eligible for a research study visit to the University of Liverpool, if required by the project. Supervisory team: Drs Chen Xuan, Paolo Paoletti, Hao Yu and M.B.N. Kouwenhoven, an interdisciplinary team with prior academic appointments at Cambridge, UCLA, Harvard etc. Project Description: The PhD project is on mathematical modeling and computer simulation of stimuli responsive smart materials. Macroscopic mechanical response could originate from changes in microscopic configurations in such smart materials as liquid crystals and gels driven by thermal, optical, electrical and photochemical excitations. Soft biomimetic robots made of such smart materials capable of walking or swimming like animals in nature could be designed via simulation, together with experiments done by external collaborators. Smart remote control of such stimuli driven soft robots has promising engineering applications, the mechanical side of artificial intelligence. The primary role of the PhD candidate is to develop theoretical and numerical models to study the mechanics of smart materials and structures. The supervisors will endeavor to help the candidate work on simplified models to initiate the project. The candidate is welcome to propose additional ideas to the project. For an overview of the field see: Science Robotics: https://robotics.sciencemag.org/content/4/33/eaax7112 JMPS: https://www.sciencedirect.com/sc ... i/S0022509618306045 JMPS: https://www.sciencedirect.com/sc ... i/S0022509618308226 Proc. Roy. Soc. A: https://royalsocietypublishing.org/doi/10.1098/rspa.2013.0535 Requirements and Nice-to-haves: 1. Bachelor’s or Master’s degree in mechanics, physics, optics, maths, engineering, materials etc. 2. Experience in computational mechanics/physics/maths (with MATLAB/C++, MATHEMATICA, ANSYS/ABAQUS/COMSOL etc) will be an advantage. 3. Experience in mathematical modeling of physical systems, continuum mechanics, PDEs will be an advantage. 4. Experience in experiments will be great but not essential. 5. Candidates will be reviewed holistically so those with other skillsets not listed are encouraged to apply. When unsure about your eligibility just ask via email: Informal enquiries addressed to Prof/Dr Chen Xuan (chen.xuan@liverpool.ac.uk). How to Apply: Email chen.xuan@liverpool.ac.uk their CV (including courses learnt) for initial assessment. Shortlisted applicants will be interviewed. Xi’an Jiaotong Liverpool University (XJTLU): We are the result of a historic partnership between Xi’an Jiaotong University and the University of Liverpool. Our location in Suzhou Industrial Park, China’s equivalent of Silicon Valley and a hub of global innovation, means our students have numerous internship opportunities and access to job positions. By May 2020, our global community of more than 17,000 undergraduate and postgraduate students (around 3,500 of whom are studying at the University of Liverpool through the 2+2 programme), and nearly 1000 academic staff (50% international) is continually growing, offering you the chance to make connections with people from across the world. All our degree programmes are taught 100% in English. In 2019, 86.50% of our graduates planned to continue their studies in world-renowned universities, while others get jobs with major companies in China, UK and around the world. [ Last edited by hire2020 on 2020-8-4 at 10:46 ] |
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