博士獎學金 | 2019年英國PhD招生和獎學金（名校篇）

09-24

來自專欄［博士留學］博士生活

曼漢教育主要分享領域在：博士申請｜海外科研人｜博士就業｜博士生活

Overseas PhD Scholarship in Blockchain Security, Privacy and Scalability: building and maintaining a mainstream,scalable, open, and decentralized blockchain

標籤: 互聯網；帝國理工學院；計算機系; 獎學金；區塊鏈；全球學生可申請；

全年開放

詳細信息

Project Description

Untaxed bursary of ￡17,000 per annum (2017/18 figure including London weighting plus x Overseas fees)

The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2014 REF assessment, The Department was ranked third (1st in the Research Intensity table published by The Times Higher), and was rated as "Excellent" in the previous national assessment of teaching quality.

Applications are invited for an Overseas PhD student in Blockchain Security, Privacy and Scalability to work under the supervision of Dr. Arthur Gervais.

Bitcoin and the security properties of its blockchain provide the technical means to catalyse societal evolution. Understanding and improving the security, privacy and performance of blockchain technology is crucial, such that this technology continues to thrive. There is a need for fundamental research to focus on understanding and quantifying the tension points and tradeoffs in terms of security, privacy and performance, with the goal to build and maintain a mainstream, scalable, open, and decentralized blockchain.

The successful candidate will conduct high quality multidisciplinary research in blockchain security, privacy and scalability related projects under the supervision of Dr. Arthur Gervais (http://www.arthurgervais.com). Arthur has over 5 years of blockchain expertise, a PhD degree and PostDoc from ETH Zurich, in the area of blockchain security, privacy and scalability. He has authored 8+ influential peer-reviewed scientific articles on blockchain published at top-tier security conferences. Arthur has also shown how to convert scientific research into real-world products by providing the first automated formal verification tool for Ethereum based smart contracts (www.securify.ch).

The student will work with world-leading researchers in the field, frequently collaborating with colleagues worldwide in various fields (machine learning, statistics, programming languages). The research outcomes should preferably have a direct economic and technological impact on future societies, including new paradigms for inter-human and inter-machine interactions, privacy protections of permissionless and permissioned blockchains and fundamental changes to how society trades and interacts.

The qualified candidate will be encouraged to team up with other researchers at Imperial (e.g. researchers from Imperial business school) to collaborate on interdisciplinary research topics.

A willingness to work independently and as part of a team on research is essential.

To apply for this position, you will need to have a strong background in at least one of the following areas:

?Security and Privacy

?Machine learning

?Data analysis and modelling

?Economics/finance (especially data economy)

?Mathematical finance, etc.

Applicants are expected to have a First Class or Distinction Masters level degree, or equivalent, in a relevant scientific or technical discipline, such as computer science or mathematics. Applicants must be fluent in spoken and written English.

The position is fully funded, covering tuition fees, travel funds and a stipend/bursary. One position is available to an overseas student.

Funding Notes

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr. Arthur Gervais (a.gervais@imperial.ac.uk). For further information see http://www.arthurgervais.com/ .

To apply for this position, please contact Dr Arthur Gervais (a.gervais@imperial.ac.uk) Please write Blockchain Security, Privacy and Scalability in the title, and Dr. Arthur Gervais in the 「Proposed Research Supervisor」 field.

Application guidelines can be found at: http://www.imperial.ac.uk/computing/prospective-students/courses/phd/phd-application-guidelines/

This position will be based at the South Kensington campus in central London.

Applicants are advised to visit http://www.imperial.ac.uk/computing/prospective-students/courses/phd/ for general information on becoming a PhD student in the Department of Computing.

References

We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people.

Modelling the response of soft membranes for lightweight structures in extreme conditions

標籤：全球學生

機械工程系、倫敦大學學院、薄膜、材料、全額獎學金、免稅津貼

申請截止日期：2018.9.30

詳細信息

Project Description

Structural membranes are widely used in engineering due to their ability to undergo large deformations, with applications ranging from civil constructions (e.g. inflatable roof stadium) to advanced aerospace systems (e.g. NASA Superpressure Balloons and membrane antennas), and including biomedical devices, soft robotics, stretchable electronics, and tissue engineering. Although these thin films are extremely lightweight, with submillimeter thickness and low areal density, they can withstand severe thermal and mechanical loading conditions. However, the highly deformable solids employed in these lightweight membrane structures are dif?cult to characterise and control, thus limiting the long-term response and the life of the engineered systems.

The project aims to predict the behaviour of soft membranes under a wide range of thermal and mechanical loading conditions through the development of advanced and accurate nonlinear constitutive models. In particular, a major task will be to develop a reliable method to assess the (visco)elastoplastic transition in inflatable thin films constituted of different structural materials, mainly for aerospace applications. Advanced mathematical modelling of solid mechanics and numerical simulations (finite element method) will be employed to establish constitutive relations and evaluate systems performances. A variety of experimental tests will be designed and conducted throughout the entire project to characterise and validate the material and the structural responses. Experiments will include the use of electromechanical testing machine, digital image correlation technique, inflatable test boxes, and environmental chamber.

The successful candidate will have the opportunity to gain experience and contribute to the development of new theoretical, numerical and experimental research methods. As a PhD student at UCL you will benefit from mechanical engineering research training, high-performance computing, and experimental laboratories. Furthermore, you will be encouraged to publish your work in leading peer-reviewed journals and present your findings at the most important national and international conferences.

Person Specification

Applicants must have a UK-equivalent first degree in solid mechanics, structural/mechanical/materials engineering or a related discipline. Experience with material and structural modelling, experimental characterisation, and numerical simulations is a significant advantage. Excellent organisational, interpersonal and communication skills are essential.

Closing Date and Start Date

We will be continuously having informal discussion with interested candidates until this position is filled.

Application Process

Eligible applicants should first contact Dr F. Bosi (f.bosi@ucl.ac.uk) enclosing a CV (including the names and contact details of two referees), the transcript of results (listing all subjects taken and their corresponding grades/marks), and a cover letter stating how the project meets your research interests

The supervisory team will arrange interviews for short-listed candidates. After interview, the successful candidate will be given instructions to formally apply online via the UCL website. For further information, see http://www.ucl.ac.uk/prospectivestudents/graduate/research/application.

Funding Notes

Full tuition fees and a tax-free stipend of up to ￡17,500 per annum for three years.

Eligibility: This funding is for UK/EU nationals and overseas candidates. Please refer to the following website for eligibility criteria: https://www.ucl.ac.uk/prospective-students/graduate/research-degrees/mechanical-engineering-mphil-phd

Identifying Novel Disease Genes in Patients with Hereditary Motor Neuropathies

標籤：劍橋大學，臨床神經科學，獎學金，全球學生

申請截止日期：2018.12.5

詳細信息

Project Description

Charcot-Marie-Tooth disease (CMT) is a group of inherited disorders of the peripheral nerves. Clinical diagnosis of CMT can be made fairly accurately, and the clinical classification is very helpful in the identification of new disease genes. All types of CMT thought to affect approximately 5 to 40 per 100,000 individuals. We have recently re-evaluated the prevalence of CMT in Northern England, which is compatible with other European countries. Thus far more than 80 genes have been implicated in CMT, and the recent next generation CMT panel screening enable the mutation detection in all known rare neuropathy genes. However, achieving a genetic diagnosis is still challenging in some forms of inherited neuropathies, including hereditary motor neuropathies (~40% detection rate).

We have already characterized the clinical presentation and electrophysiology in over 100 patients with hereditary motor neuropathy. CMT panel and whole exome sequencing has been performed in genomic DNA samples of these patients and the confirmation of the exome results by Sanger sequencing is currently ongoing. We have recently reported a novel disease gene SYT2, which is the first gene involved in motor neuropathy affecting synaptic transmission and the involvement of the neuromuscular junctions raised the possibility of a novel approach for therapy.

This project will focus on genetic analysis of the exome results in hereditary motor neuropathies with the potential to identify further novel human disease genes. The evaluation of detected changes and the confirmation of pathogenicity may require further laboratory techniques, such as tissue culture studies, cDNA analysis and functional studies. We will explore the involvement of neuromuscular junction in the development of the neuropathy and will study whether the modification of the neuromuscular junction can be beneficial for these patients.

Funding Notes

Funding deadline is 5th December 2018 for start in October 2019. When applying indicate on the application the funding options (GATES USA *deadline 10/10/18*, Gates Cambridge or other Cambridge Funders). Home/EU and International applications are all considered for funding.

Further information can be found on our website https://www-neurosciences.medschl.cam.ac.uk/workandstudy/postgraduate-training/postgraduate-admissions/

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