博士申請:英國大學最新Ph.D職位

【英國】愛丁堡大學（QS排名 20）

PhD studentship in Privacy Systems and Networks

相關專業：計算機科學, 數學, 物理, 統計學

One fully funded PhD position to work with Dr Tariq Elahi in the School of Informatics at the University of Edinburgh, in the area of in Privacy Systems and Networks. Mass surveillance, censorship, and mass data gathering and profiling augmented by AI, are a growing threat to our privacy.Privacy Enhancing Technologies (PETs), such as Tor, have been developed as defences against these threats. However, they are not widely adopted due to limitations in their security and performance. We need to improve these technologies to become more versatile, powerful, and scalable, so that they can be used more widely and defend against powerful adversaries. Students interested in one or more of the following areas are invited to apply and/or get in touch with Dr Elahi via email ([e-mail]): • Anonymous Communication & Censorship Resistanceo Tor, Mixnets, and ML-assisted Traffic Analysis & Obfuscation • Data-Driven Privacy Systems Engineeringo Privacy-preserving modelling, Private Data Analysis, and ML for Feedback Control and Optimisation• Embedding Privacy into the Infrastructureo Tor and Mixnets at the Network Layer, Anonymity for Blockchains, and Privacy in IoTEnvironment. The School of Informatics is one of the largest in Europe and currently the top Informatics institute in the UK for research power, with 40% of its research outputs considered world-leading (top grade), and almost 50% considered top grade for societal impact.The University of Edinburgh is constantly ranked among the world’s top universities and is a highly international environment with several centres of excellence.

【英國】曼徹斯特大學（英國）

（QS排名 27）

相關專業：生命科學

Biliary tract cancers (BTCs) encompass cancers of the extrahepatic/intrahepatic bile ducts, gallbladder and ampullary carcinoma. The only potentially curative option is surgical resection; median overall survival (OS) in the advanced setting: 11.7 months with cisplatin/gemcitabine chemotherapy1. BTC may develop through accumulation of genetic/epigenetic alterations; influenced by host immunity, diet, environmental/microbial exposure2. The human intestinal microbiome comprises ~1014 microorganisms that can influence host metabolism, immune system and cancer; the liver/biliary tract are exposed to gut microbiome via portal vein blood flow3. Diet, lifestyle, pharmacological factors (including antibiotics), and pro-/prebiotics can influence intestinal microbiota composition; microbial community imbalance (microbial dysbiosis) can potentiate hepatic steatosis and inflammation, and may promote liver tumour development. Additionally, the microbiome in bile may influence complications post BTC resection4. Furthermore, disruption of the microbiota impairs tumour response to immunotherapy and platinum chemotherapy in mouse tumours5. A better understanding of the role of microbes on BTC surgical outcomes is required, in addition to exploring their role in the efficacy of chemotherapy/immunotherapy in advanced BTC. This study will interrogate an institutional database including >600 patients with a BTC diagnosis for evidence of antibiotic use within 2 months before, or 1 month after, the first administration of platinum-based chemotherapy, and investigate the effects of their use on progression-free and OS. Cox regression analysis will elucidate any prognostic/predictive impact. Within prospective studies investigating (1) neoadjuvant cisplatin/gemcitabine versus upfront surgery in patients with resectable BTC and (2) the benefit of addition of immunotherapy to standard cisplatin/gemcitabine in advanced BTC, oral and gut microbiome samples will be collected at treatment initiation, with matched tumour biopsies/blood samples, when possible, to assess genomic alterations, as well as the density/phenotype of tumour infiltrating/circulating immune cell subsets. Metagenomic studies will examine the differences in the diversity/composition of the patient gut microbiome; correlated with surgical outcomes and tumour response. 1. Valle J, Wasan H, Palmer DH et al. Cisplatin plus gemcitabine versus gemcitabine for biliary tract cancer. N Engl J Med 2010;362:1273-1281. 2. Nakamura H, Arai Y, Totoki Y et al. Genomic spectra of biliary tract cancer. Nat Genetics 2015;47:1003-1010.3. Szabo G. Gut-liver axis in alcoholic liver disease. Gastroenterology 2015;148:30-36.4. Spolverato G, Yakoob MY, Kim Y et al. Impact of complications on long-term survival after resection of intrahepatic cholangiocarcinoma. Cancer 2015;121:2730-2739. 5. Iida N, Dzutsev A, Stewart CA et al. Commensal bacteria control cancer response to therapy by modulating the tumor microenvironment. Science 2013;342:967-970.

【英國】諾丁漢大學（QS排名96）

36-Month PhD Studentship Sponsored By Highways England

相關專業：物理

Topic: Predicting concrete pavement deterioration Academic Supervisor: Dr. Nick Thom Industrial Supervisor: Dr. Arash Khojinian Location: Nottingham Transportation Engineering Centre, University of Nottingham Restrictions: Highways England will consider funding either home/EU or international studentsThis project is targeted at allowing HE to manage their stock of concrete roads effectively. As part of this it is necessary to have a trustworthy method of predicting future performance based on known characteristics. This PhD will concentrate on the design and calibration of a realistic theoretically-based concrete pavement deterioration model, in particular joint and crack deterioration.This will involve analysis of stress concentrations, e.g. at dowels, inclusion of water ingress effects, e.g. dowel corrosion and loss of slab support, and will also take account of daily and annual temperature cycles. The modelling required is anticipated to involve: finite element analysis around dowels; so-called 2.5D analysis of joint and foundation stresses; water flow simulation; and corrosion prediction. Inputs will be related to information from in-situ monitoring. Outputs need to be formulated so as to be suited to HE’s decision-making processes. In addition to this research project the student will also benefit from being part of a large group of researchers, academics and technicians working on a wide range of highway and railway related projects, some laboratory-based, some principally computational.There will also be opportunities to undertake training in topics of use to the PhD and to attend one or more relevant international conferences. The direct involvement of Highways England as advisors to the project will be beneficial in ensuring that a truly valuable piece of work results, rendering the candidate highly employable.

申請截止時間：2020/7/10

【英國】西蘇格蘭大學（QS排名 96）

PhD position: Artificial Intelligence and machine learning for cutting edge problems

相關專業：計算機工程, 計算機科學

Modern Artificial Intelligence (AI) is an emerging field that develops intelligent algorithms and machines that include: self-driving cars, smart cameras, surveillance systems, robotic manufacturing, eHealth, emotion intelligence, and product recommendations. Modern AI is based on machine learning techniques that can improve their performance by learning from experience. 

Experience often comes in the form of very large amounts of data. The resulting algorithms and models are used for making predictions and for improving decisions.These studentship will focus on emerging machine learning techniques especially focus on Deep Learning abstraction designs to interpret real-time heterogeneous large scale data. This is a novel area of computer science that encompasses a multi-disciplinary working. 

The project can be categorised in three main research intensive components:

• Formulate and assemble heterogeneous large scale datasets for machine learning;

• Realise and deploy machine learning based on Deep Learning intelligence algorithms on the datasets; 

• Develop and validate visual analytic tools for interactive human-in-the-loop learning processes.These studentships will cultivate and lead to entirely new interactive visualization tools to enable exploration of real-time heterogeneous large scale data.

This project has guaranteed funding for three years. The project will pave the way for a high quality PhD thesis supported by impacting publications in top journals and conferences. The supervisory team comprises UWS academics. Their expertise in these research topics together with the motivation and involvement of the candidate will guarantee the success of the project. The final outcome will be a real time concept demonstrator to show the university research standing and help to get external funding.

【英國】紐卡斯爾大學（QS排名 146）

NUAcT PhD Studentship in Biological self-healing for Sustainable Building and Smart Heritage Conservation

相關專業：生命科學, 材料工程

1Start date and duration: 28 September 2020 for 3 years. Overview:We are pleased to announce a PhD studentship in the world’s first Hub for Biotechnology in the Build Environment. We are looking for a highly motivated and talented Researcher to join the team for Sustainable Building and Smart Heritage Conservation and take a leading role in the innovative field of biological self-healing by exploring the potential of traditional and advanced masonry materials to be responsive to the environment and self-heal via biomineralisation.This exciting research will develop novel technologies based on biological mechanisms that can provide masonry structures with an inbuilt durable immune system.The project aims to (i) promote the adaptation and reuse of existing properties and heritage buildings as an alternative to new construction, (ii) develop smart technologies for reducing the maintenance operations of new and existing structures, offering radical solutions that align with the international targets for sustainable development. This three-year studentship will offer a unique opportunity to join the vibrant and multi-disciplinary Hub for Biotechnology in the Built Environment (HBBE) (https://www.ncl.ac.uk/engineering/research/civil/gest/ ) and the Geotechnics and Structures Research Group at the School of Engineering. The project will be supervised across Architecture, Civil Engineering and Biological Sciences. Sponsor:Newcastle University Academic Track Fellowship (NUAcT), HBBE (https://www.ncl.ac.uk/engineering/research/civil/gest/ ) Name of supervisor(s):Dr Magdalini Theodoridou, Hub for Biotechnology in the Built Environment, School of Engineering.( https://www.ncl.ac.uk/engineering/ )

【英國】卡迪夫大學（QS排名 154）

PhD position: Numerical simulation of water repellent soils

相關專業：數據科學, 數學, 物理

3 Years October 2020This industrially supported project will focus on representing the processes related to, and assessing the impact of, hydrophobicity on soil behaviour via the development of novel models and their solution utilising established numerical techniques.It is planned that use of machine learning and other AI techniques will form part of the study. The models developed will eventually be implemented into the commercial finite element program LUSAS. The student will be based in Cardiff but will have the opportunity to have a number of short-term visits to LUSAS, who will also provide a wide-range of in-house training and support, and will also benefit from additional external supervision from Dr Sérgio D.N. Lourenço (University of Hong Kong)BackgroundMitigation for slope protection from rainfall is usually costly, intrusive and based in heavy engineering solutions and as such there is significant need for more sustainable low cost alternatives.The potential to use hydrophobic soils as part of engineered schemes for slope protection has emerged as a topic of considerable interest to both industry and the research community and is currently being investigated by the supervisors. Pilot studies in model granular materials with water repellent treatment show that the method is effective in reducing infiltration and relatively low cost. Furthermore, experiments supervised by Dr Lourenço and Prof Cleall testing the response of artificially induced water-repellent soils under different scenarios in relation to the environmental conditions and slope design have provided a rich experimental dataset. The intended PhD programme will build on this expanding experimental body of evidence to explore in detail the infiltration and runoff erosion of hydrophobic soils via theoretical and numerical modelling. These soils, the result of either natural processes such as forest fire or synthetic treatment, exhibit distinctly different drying and wetting characteristics to 』normal』 soils and as such require new or modified modelling approaches. The models will be validated and tested by comparison with experimental test data produced by the supervisors』 research groups. The developed models will allow the design of enhanced geotechnical infrastructure.

【英國】貝爾法斯特女王大學（QS排名 173）

Dr Meilan Huang 課題組招聘」瑪麗居裡」 (MSCA)CITI-GENS 博士

相關專業：化學

英國女王大學 Dr Meilan Huang 課題組招聘」瑪麗居裡」 (MSCA)CITI-GENS 博士瑪麗居裡 CITI-GENS 博士項目 歐洲瑪麗居裡學者項目是歐洲最具聲望的博士獎學金，CITI-GENS 博士項目旨在培養未 來跨學科的高科技國際化專業領軍人才，致力於解決創新生態系統的全球性挑戰。英國女王大學(Queen’s University Belfast)介紹:英國女王大學是英國研究大學聯盟 Russell Group 成員之一。Russell group 大學由英國最頂 尖的 24 所大學組成,包括英國牛津大學，劍橋大學，帝國理工，UCL 等世界頂尖大學。Machine-learning based design of enzyme biocatalysts for sustainable production of high-value industrial products The project has following specifications:· Enzyme-catalyzed chemical reactions· Structure-function relationship of biocatalysts · Structure-guided rational design of novel enzyme biocatalysts· Machine learning accelerated prediction of activities/selectivity

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