全奖|英国曼彻斯特大学招收全奖博士生

文摘   2024-10-17 13:54   美国  

职位信息

Advancing hyperpolarised solid-state NMR spectroscopy for materials science

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简介

This PhD project is open to a wide range of research directions, depending on the interests and abilities of the candidate. The main topic will concern the application and development of methods for advanced NMR investigations of hyperpolarised solids. This will involve varying proportions of hands-on experimentation, theoretical work, numerical simulations, and data analysis.

The PhD student will benefit from not only the excellent academic environment at the University of Manchester, but also from access to state-of-the-art instrumentation such as the recent EPSRC-UoM funded 700 MHz NMR spectrometer, the UK high-field solid-state NMR facility, and the UK DNP MAS NMR facility.   

Solid-state NMR spectroscopy is highly suited to the study of local atomic environments, in both crystalline and disordered materials. It can be used to determine atomic-scale structures of organic and inorganic systems as well as their dynamics. Here, the developed methods will have the potential to characterise materials and their interfaces, elucidating structure-function relationships. 

These materials will be derived from the strong surrounding research at the University of Manchester, in areas such as catalysis (metal-organic frameworks, zeolites), gas capture/separation, semiconductors, nanoparticles and quantum dots, graphene-based composites, minerals, biomaterials, and pharmaceuticals, among others. The detailed understanding enabled by this PhD will lead to the rational design of improved, innovative materials.   

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招生要求

Applicants should have or expect to achieve at least a 2.1 honours degree or equivalent in chemistry, physics, chemical engineering, or related subject. A Master’s degree and/or relevant experience in NMR spectroscopy is desirable. 

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更多信息

https://www.se.manchester.ac.uk/study/postgraduate-research/degrees-and-projects/projects/






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@留德华叫兽:系美国Clemson大学数学硕士(运筹学方向)、Ph.D. candidate,欧盟玛丽居里学者,德国海德堡大学数学博士(离散优化、图像处理),读博期间前往意大利博洛尼亚大学、IBM实习半年,巴黎综合理工访问一季。现任德国无人驾驶资深研发工程师。

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