曼汉教育是经由英国 British Council 官方认证的全球化一站式科研学术服务平台,TOP30全博士导师阵容,涵盖126个专业领域,提供博士申请、学业辅导、科研教育、国际访学以及博士人才培养等高端定制化教育产品服务.DETAILED+
University of Auckland
Department of Electrical, Computer, and Software Engineering
Supervisor：Dr Kelly Blincoe
Applications accepted all year round
Funded PhD Project (Students Worldwide)
The software industry is in a diversity crisis. Despite the recent push to increase diversity, tech jobs remain dominated by men. Women represent less than 25% of the tech workforce at companies like Google and Facebook. The representation is even worse in Open Source Software (OSS), where less than 10% of developers are women. We know that gender diversity on software teams brings many benefits (e.g. improved productivity, innovation, and user experience). It is, therefore, critical to attract and retain women in tech. Yet, women have significantly higher turnover rates (twice as high as men), with many leaving to pursue jobs outside of tech.
This project will investigate specific barriers that contribute to the lack of gender diversity in the software industry. The research methodology will include lab experiments, interviews, and questionnaires.
PhD Location: The University of Auckland, New Zealand
The University of Auckland is New Zealand’s leading university and one of the world’s major research universities. It is internationally recognized for excellence and was ranked 85th in the world in the most recent QS World University Rankings, making it a prestigious place to do your PhD research.
Auckland is New Zealand’s largest city and the center of the country’s retail and commercial activities. The city is surrounded by 11 dormant volcanoes, numerous picturesque islands, surf beaches, and an abundance of bush walks.
Funding covers all fees and provides a living stipend.
Applications should be sent via email to Dr. Blincoe. The email subject should be "Application for PhD scholarship". The application must include all academic transcripts, a CV, and a statement of research interests. Applications that do not contain all required information will not be reviewed.
Harper Adams University
Crop and Environment Sciences Department
Supervisor：Dr M Back
Application Deadline：Monday, May 11, 2020
Funded PhD Programme (Students Worldwide)
Aim：Understand the role of Reklemel™ in the management of plant parasitic nematodes infecting potatoes
1. Conduct in-vitro studies to investigate the effect of Reklemel™ and oxamyl on the mortality, motility and hatching of the potato cyst nematode (PCN) G. pallida
2. Conduct in-vitro studies to investigate the effect of Reklemel™ on the mortality of root lesion nematodes (Pratylenchus spp), Meloidogyne hapla (northern root knot nematode) and non-target bacterivorous nematodes
3. Conduct glasshouse experiments to evaluate the performance of Reklemel™ against PCN and the development of potatoes
4. Field experiments will be conducted to evaluate the performance of Reklemel™ under UK environmental conditions against PCN and other plant parasitic nematodes (root lesion nematodes
5. Undertake studies to investigate the mode of action and persistence of ReklemelTM in soil
Funding is available to support student tuition, travel (associated with the project) and consumables. Applicants will be expected to have sufficient income to support their living costs throughout their programme. Students requiring a Tier 4 visa will need to provide financial evidence to support their application.
Queen Mary University of London
School of Biological & Chemical Sciences
Supervisor：Prof Viji Draviam
Prof Richard Pickersgill
Dr Chema Martin
Application Deadline：Sunday, April 26, 2020
Funded PhD Project (Students Worldwide)
The School of Biological and Chemical Sciences at Queen Mary is one of the UK’s elite research centres, according to the 2014 Research Excellence Framework (REF). We offer a multi-disciplinary research environment and have approximately 160 PhD students working on projects in the biological, chemical and psychological sciences. Our students have access to a variety of research facilities supported by experienced staff, as well as a range of student support services. The student will have access to a cutting-edge live-cell and super-resolution microscopy facility to study cell division process, and gain support from an in-house protein purification facility for Structural Biology studies.
Training and Development
Our PhD students become part of Queen Mary’s Doctoral College which provides training and development opportunities, advice on funding, and financial support for research. Our students also have access to a Researcher Development Programme designed to help recognise and develop key skills and attributes needed to effectively manage research, and to prepare and plan for the next stages of their career. The student will gain training in Cell, Molecular and Structural Biology techniques and Bioinformatics tools.
Aneuploidy (irregular chromosome numbers) can promote aggressive cancer, premature ageing, infertility and multidrug resistance. The precise molecular lesions that drive aneuploidy in pathologies remain unclear. To address this, we need a clear molecular understanding of how microtubules capture and segregate chromosomes during the process of cell division.
Chromosome-microtubule attachment is facilitated by a large macromolecular complex, the kinetochore, made of over 100 evolutionarily conserved proteins. Proteins that stabilise kinetochore-microtubule attachment are crucial for the accurate segregation of chromosomes. We showed that human kinetochores attached to the very ends of microtubules, but not microtubule-walls, recruit a 4-member Astrin complex that is essential to stabilise kinetochore-microtubule attachment (Curr Bio 2013, Nature Comm 2017). More recently, we showed how the Astrin complex stabilises kinetochore-microtubule attachments by recruiting PP1, a phosphatase, near the evolutionarily conserved tetramerisation domain of the Ndc80 complex (eLife, 2019). The student will define the structural and molecular basis for Astrin-PP1 and Astrin-Ndc80 interactions using a combination of Structural Biology, Evolutionary Biology and Cell Biology tools. This multi-disciplinary study will shed light on why the Astrin complex is recruited selectively to kinetochores attached to microtubule-ends, and how the complex senses and stabilises correct attachment status. The findings will expand our fundamental understanding of how normal cells monitor chromosome-microtubule attachment status and prevent aneuploidy.
Applications are invited from outstanding candidates with or expecting to receive a first or upper-second class honours degree in Biological Sciences or a masters degree in an area relevant to the project (Biochemistry, Cell or Molecular Biology). Research experience in Biochemistry or Molecular Biology is essential.
The student should have demonstrable research experience in the form of research thesis or publications.
Applicants from outside of the UK are required to provide evidence of their English language ability. Please see our English language requirements page for details:
Informal enquiries about the project can be sent to email@example.com. Formal applications should be submitted through our online form by the stated deadline.
The School of Biological and Chemical Sciences is committed to promoting diversity in science; we have been awarded an Athena Swan Bronze Award. We positively welcome applications from underrepresented groups.
This studentship is open to applicants worldwide and is funded by a Queen Mary University of London Principal's Studentship. It will cover tuition fees, and provide an annual tax-free maintenance allowance for 3 years at the Research Council rate (£17,285 in 2020/21).
Conti et al., 2019 Kinetochores attached to microtubule-ends are stabilised by Astrin bound PP1 to ensure proper chromosome segregation https://elifesciences.org/articles/49325
Technological University Dublin
Graduate Research School Office
Supervisor：Dr P Dondio
Application Deadline：Thursday, April 30, 2020
Funded PhD Project (Students Worldwide)
Happy Maths seeks to investigate if the introduction of adaptation and personalization in digital games for Primary School Maths can improve students’ performance and engagement, especially students with significant levels of Maths anxiety. Maths Anxiety is a recognized condition affecting more than 2 million people in UK only. Our core hypothesis is that by adding intelligent systems techniques to Maths games, such as adaptation and personalization, students’ engagement and performance will increase. In particular, the adaptive system will help weaker or more anxious students to feel more confident in playing the game.
The project will:
* Design and build autonomous digital games (linked to the mathematics curriculum) which adapt to learners of different ability and knowledge levels. The project builds on previous work, and in particular two award-winning games developed by our research centre that will be modified and enhanced during this project.
* Adopt state of the art algorithms in machine learning, predictive analytics and adaptation to develop intelligent games able to adapt their difficulty, rewards system, feedback and game content to increase student engagement and performance
* Adopt best practice in gameplay, gamification and game design.
* Collect data from 40 participating primary schools and then mine the resultant datasets in order to investigate correlations and causality between game performance, patterns of game moves and children’s academic and anxiety indicators.
The project includes 3 experimentation cycles. At each cycle, our games will be deployed and tested in schools. Measurements about students’ levels of engagement, maths anxiety and performance will be collected via surveys, focus groups, pre/post tests, and an analysis of game performance and game log data.
The result of each phase will feed the successive cycle where, based on the lesson learned, new game features will be designed.
Currently, 40 primary schools has signed-up to the project.
Student requirements for this project
Degree in Computer Science
Previous work on multidisciplinary projects will be a plus
Candidates with a degree in Education but with demonstrated technical skills will be also considered.
If you are interested in submitting an application for this project, please complete an Expression of Interest available at the link below and email it to firstname.lastname@example.org.
Student Stipend €16000 € p.a. for 4 years
Materials/ Travel etc € 2000 € p.a. for 4 years
Fees fully covered for 4 years
School of Energy, Geoscience, Infrastructure and Society
Supervisor：Dr B Jafarizadeh
Application Deadline：Friday, May 01, 2020
Funded PhD Project (Students Worldwide)
The big bets of the oil and gas industry increasingly involve uncertainty. These decisions in exploration, development, and production of hydrocarbons, along with more recent challenges of CO2 storage and sequestration or hybrid energy solutions, are uncertain because of lack of information. We can buy information and partially resolve uncertainty, but this comes at a cost. While added information could come from disparate sources, including sensors, surveys, or expert opinion, and could partially resolve uncertainty, the central question in any information acquisition activity is “is the information worthwhile”? in other words, do the benefits of information outweigh the costs?
This PhD projects aims to answer this question using the methods of Bayesian networks combined with economics of information. Considering the multi-disciplinary nature of value of information, this work addresses framing, analysis, and decision insights resulting from information acquisition. The information comes from a variety of sources, and in different frequencies. Furthermore, valuations involve technical and economic factors with distinct characteristics. The aim is to construct useful models that excel in multi-dimensional valuations and supply decision insight for the major challenges of the oil and gas industry.
Developing useful decision models is not an easy task. In practice, projects have complex contract structures, include a series of technical and commercial decisions, and involve uncertainty. For most real-world applications, decision support models have achieved little. The traditional economical models of information valuation focus on few value drivers, usually without considering a proper frame of decisions. Even when uncertainties are identified and described, the valuation model becomes too complex and effortful that the solutions lack the decision insight. The traditional off-the-shelf packages are also inadequate to tackle such valuation models.
With this project, we aim to develop a useful, material, and economical model of decisions. The model is aimed at application of “value of information” and uses stochastic methods to describe uncertainty. Bayesian networks draw probabilistic conclusions on multiple sources of information. Finally, the contribution of the model is not in its comprehensiveness, it is in its usefulness to generate decision insight.
Bayesian networks illustrate the relationship between decisions, sources of uncertainty, and value functions. As such, they rely on are rigorous depictions of the decision problem. Yet such analysis is not complete without the insights from information economics. The optimal decision making is a function of technical factor as well as economic dynamics.
The ideal candidate for this research is an individual with good grasp of probability, statistics, and economics, who is also familiar with the operations in the oil and gas and energy industries. The research works involves applications of computer software and coding, experience of developing decision support systems is also beneficial.
This project is available to ALL students, whether UK, EU or overseas. The successful candidate should possess at minimum a Masters and undergraduate degree in engineering or sciences with a specialisation or interests in mathematics, economics, and computer science. Experience in petroleum and energy industries is beneficial. Background on decision analysis and economics is desirable but not a necessity.
To apply you must complete our online application form. Please select PhD programme Petroleum Engineering and include the full project title, reference number and supervisor on your application form. Ensure that all fields marked as ‘required’ are complete.
You must complete the section marked project proposal; upload a supporting statement documenting your reasons for applying to this particular PhD project, and why you are an ideal candidate for the position. You will also need to provide a CV, a copy of your degree certificate and relevant transcripts. You will be asked to enter details of an academic referee. Until your nominated referee has uploaded their statement, your application will not be marked as complete and will not be considered by the review panel. You must also provide proof of your ability in the English language (if English is not your mother tongue or if you have not already studied for a degree that was taught in English within the last 2 years). We require an IELTS certificate showing an overall score of at least 6.5 with no component scoring less than 6.0 or a TOEFL certificate with a minimum score of 90 points.
Applicants must be available to start in September 2020.
The scholarship will cover tuition fees and provide an annual stipend of £15009 for the 36 month duration of the studentship.