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伦敦玛丽女王大学 凝聚态物理与材料系招收CSC全奖博士
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目前其凝聚态物理与材料系Dr Alston Misquitta 招收博士招2023年入学的全奖博士，项目的详细信息见下方英文的项目说明。 请有意向的同学直接将英文简历直接发邮件给Dr Alston Misquitta （a.j.misquitta@qmul.ac.uk）他人很nice，也与中国的一些大学有一些合作。 注意：项目的申请截止日期目前是在2023年1月30日，所以有兴趣的同学抓紧时间，烦请将简历发给他直接联系。 PhD studentship in “Molecular thermodynamic models for CCS from physical and machine- learned force-fields of CO2 mixtures” at Queen Mary University of London, United Kingdom There are several PhD projects open in the group of Dr Alston J. Misquitta in the theory and applications of intermolecular interactions and force fields. The project on thermodynamic models for CCS from machine-learned (ML) force-fields (FFs) of CO2 mixtures will be co-supervised by Dr Radomir Slavchov. The student will be part of the School of Physics and Chemical Sciences and the London Centre for Theory and Simulation of Materials and Molecules, and will additionally be able to participate in the PHYMOL doctoral network: a �2.9M Marie Skłodowska–Curie Actions Doctoral Network on Intermolecular Interactions that was awarded to Dr Misquitta as coordinator, and which involves 9 other European Institutes. Project descriptions: Global Climate Change due to our rising CO2 emissions is the most important and difficult problem we face today. Carbon capture and storage (CCS) is one of the important interim mitigation methods for reducing our CO2 output from fossil fuel burning and the steel and cement industries. Here we focus on one part of CCS: the development of molecular thermodynamic models based on accurate interaction models. These models are needed to better understand the transport aspects of CCS. The projects on offer are, at their core, focused on accurate intermolecular interaction models derived from first principles methods developed in the Misquitta group: we will develop methods that combine physical ideas with machine-learning to enable the rapid development of force-fields. Together with Dr Slavchov – an expert in the field of molecular thermodynamics – we will extract the relevant thermodynamic information from these models, and in collaboration with members of the BP Institute (Cambridge) and Shell we will seek to substantially improve the modelling of corrosion in CCS processes. The PhD students in these projects will become experts in Python and will learn to automate calculations, and to bring large-data, machine-learning ideas into the research work. The students will benefit from the training programme and conferences held in the PHYMOL network and also benefit from contact with the BP Institute in Cambridge, and Shell through a collaboration on CCS. For information on projects in the group of Dr Misquitta see the departmental web site and for information on additional projects see the PHYMOL site. Training & Development: Students can expect to be trained to interact with researchers between scientific communities: from academia and industry. They will be trained in computer simulations, quantum chemistry, machine learning, and scientific programming. The deliverables of the projects are important to industry. As such, the PhD project will provide opportunities for training in a wide range of contemporary computational and material chemistry techniques and will equip the successful applicants with a highly desirable portfolio of scientific skills and associated transferable skills. Candidate requirements: Applications are invited from outstanding candidates of Chinese nationality holding or expecting to gain a degree in Chemistry, Physics, Materials Science, and Engineering with an interest in computational and materials research. An enquiring and rigorous approach to research, as well as good team-working and communication skills (both presentation and written English) is essential. Contact Dr Misquitta (a.j.misquitta@qmul.ac.uk) by email, along with a full CV and the contact details of at least two referees. Queen Mary University of London and the China Scholarship Council (CSC) have created a scholarship program to enable talented Chinese students to undertake a PhD at Queen Mary. The scholarships build on Queen Mary's existing relationship with China and links with Chinese research institutions and Universities. Queen Mary has the highest number of CSC scholars of all UK universities. Queen Mary is also one of the UK’s leading research-focused higher education institutions, member of the elite Russell Group of UK universities, and ranked 9th in the UK in the 2014 Research Excellence Framework. |
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