The University is pleased to announce a range of international PhD studentships available for October 2019 start. These are available for highly qualified applicants for research within science, life sciences, social science and arts and humanities.
What is available?
A combination of full and fee only awards will be available. Full studentships offer:
a subsistence grant (stipend) to match the 2019/20 UK Research Council rate (the 2018/19 rate is £14,777)
tuition fees at the International rate
a £1,000 p.a. training and development allowance
Fees-only studentships, each one offering:
tuition fees at the International rate
a £1,000 p.a. training and development allowance
All awards are for up to three years in duration. A maximum of seven studentships will be available in total.
Funding is only open to international (non-EU) candidates. Candidates will be required to meet the language requirements specified by their department upon entry.
The deadline for applications is Thursday 31st January 2019.
PhD Studentship in When Machine Learning Meets Big Data in Wireless Communications
Recent several decades have witnessed the exponential growth in commercial data services, which lead to step in the so-called big data era. The pervasive increasing data traffic present both the imminent challenges and new opportunities to all aspects of wireless system design, such as efficient wireless caching, drone base station deployment and adaptive nonorthogonal multiple access design. Machine learning, as one of the most promising artificial intelligence tools, has been invoked in many areas both in the academia and industry. Nevertheless, the application of machine learning in wireless communication scenarios is still in its infancy, which motivates to develop this phD project. The aim of this phD project is to use social media data to predict the requirements of mobile users for improving the performance of wireless networks.
All applicants should hold a masters level degree at first /distinction level in Computer Science or Electronic Engineering (or a related discipline). Applicants should have a good knowledge of English and ability to express themselves clearly in both speech and writing. The successful candidate must be strongly motivated for doctoral studies, must have demonstrated the ability to work independently and to perform critical analysis.
Candidates are asked to possess fundamental knowledge and skills in two or more of the following areas:
Excellent background in communication theory and signal processing algorithms. Good knowledge of emerging 5G and IoT techniques, such as NOMA, wireless caching and mobile computing, UAV, V2X, etc.
Prior experience/education in both theory and practice of machine learning.
Hands on experience using one of the following deep learning libraries: Tensorflow, PyTorch, Theano or similar.
Good coding skills. (Python and C++ are considered a plus).
Applications are invited for a prestigious fully-funded 3 year PhD studentship in Space Instrumentation at the University of Sussex. The successful applicant will join the MicroADS mission team in the Space Research Group. MicroADS is a novel satellite attitude determination system which offers star-tracker levels of performance in a much smaller instrument. It is anticipated that MicroADS will be flown on a LEO demonstrator mission in c.2021.
Type of award
About the PhD Studentship
You will work on developing the MicroADS instrument hardware and on board instrument software, with the exact split between these activities determined by your aptitude and the instrument’s needs. Your work will include development and characterisation of the instrument optics, electronics, and interfaces with spacecraft systems. The PhD requires a strong practical/experimental background in physics and/or spacecraft engineering.
About the Space Research Group
The Space Research Group conducts fundamental and applied work in a variety of areas related to space science, spacecraft engineering, and high performance hardware for terrestrial environments. The group is particularly well known for its world-leading contributions in: X-ray spectrometers for astronomy and planetary science; e– spectrometers for space plasma physics; radioisotope microbatteries; compound semiconductor material physics; spacecraft GNC systems; and extreme environment instrumentation. The Space Research Group is entrepreneurial, business-focused, and committed to the highest quality of scientific research.
About the PhD supervisor
The PhD will be supervised by Prof. Anna M. Barnett. Prof. Barnett is Professor of Space Research and Director of the Sussex Space Research Group. She is an experimental physicist with internationally recognised expertise in detector physics and instrumentation for space science and extreme terrestrial environments (high temperature, intense radiation). As of April 2018, Prof. Barnett holds research funding totalling >£2M in value. She has won numerous prizes and awards including the 2016 Philip Leverhulme Prize, and she is the youngest person ever awarded a Personal Chair at University of Sussex (equivalent to a US Full Professor with Tenure).
PhD Studentship – Development and validation of a novel smartphone application for the assessment of acute and chronic stress, allowing the investigation of eating behaviours in association with stress during everyday life.
This project aims firstly to develop and validate a novel smartphone application for the assessment of both acute and chronic stress during everyday life. Secondly, the project will utilise this application to investigate associations between stress and eating behaviour. The work will be undertaken over a three year period in a series of studies, based on: reviewing existing measures of stress; development and validation of a smartphone application; and the investigation of eating behaviours in relation to acute and chronic stress.
The work will result in a novel and validated smartphone application for the measurement of stress during everyday life, of potential use and benefit for a range of academic researchers. The validation will also result in increased understanding of the relationships between subjective, implicit and objective measures of stress. Secondly, the work will extend current understanding of the links between stress and eating behaviour, with the aim of increasing understanding, developing future interventions, and improving population health. The work will be of interest to all those with an interest in improved health, both from a stress perspective and from a healthy eating perspective. To improve the societal impact of the project, the work will be undertaken following recruitment of individuals from workplace settings, and may be extended to include individuals with diagnosed stress-related and anxiety disorders (dependent on contacts). A wide variety of health and human resource professionals and professional bodies, and the population as a whole will benefit from increased understanding of stress, the relations between stress and eating behaviour and diet, and the evidence for possible future interventions. The findings of the project could result in an extension of the application for personal use, and for the development of interventions.
The School of Mathematics, Computer Science and Engineering at City, University of London is offering a full-time, industry-funded, three-year doctoral studentship for 2017/18 entry. Applications are invited from exceptional UK, EU and international graduates wishing to pursue cutting-edge research in Machine Learning and its application to anti-money laundering.
The PhD offers the opportunity to research and work in the highly relevant area of applying machine learning and deep learning to solving real world regtech problems, working with both real-time and big data. Kindred Group plc are a global leader in regulated internet gambling and considered one of the most respected and progressive corporations in the world in consumer protection in gaming. BetBuddy is a global leader in the application of AI to protect consumers at risk of problem gambling. BetBuddy and City’s Research Centre for Machine Learning have a history of strong collaboration which has produced significant AI research output of fundamental relevance to this PhD research.
The School is investing in academic excellence following its success in the recent REF 2014 which highlighted the world class quality of its research.
Applications are invited for the above PhD studentship in Engineering/Computer Science in the College of Engineering, Mathematics and Physical Sciences. This interdisciplinary studentship is part of a larger project with the Centre for Water Systems (www.ex.ac.uk/cws) to develop an interactive evolutionary algorithm system for the optimisation of water systems. Working with the project team and several industrial partners, the studentship will involve the integration of water modelling and interactive evolution systems into a serious game application, allowing players to develop solutions to real-world water systems problems in an engaging, massively multiplayer environment. Through the development of the game we hope to harness the power of crowd-sourcing to solve difficult engineering problems, an approach that is well established in other areas such as bioinformatics (e.g. see ‘Foldit’ and ‘Phylo’). An additional research area will be to investigate the potential for Artificial Intelligence techniques known as evolutionary algorithms to work with human and crowd-sourced knowledge to deliver highly optimal solutions to difficult problems in the water industry.
Academic Entry Requirements:
This studentship is part of a larger project involving the investigators named below, a number of industrial organisations, and two postdoctoral researchers. Applicants should therefore be comfortable working as a member of a team and possess a strong background in Engineering or Computer Science. Applicants must have a first or upper second class undergraduate honours degree, MSc or equivalent, and will preferably have some expertise in water system hydraulic modelling, game development, mobile computing and AI methodologies (e.g. evolutionary computing).
The Chemistry Department at the University of Liverpool has launched a pilot international postgraduate research studentship programme that will grant full tuition waiver to a small number of highly qualified non-EU nationals with BSc or MSc degrees from top universities worldwide admitted into its PhD programme. The UK Government ranks the Chemistry Department 2nd best overall in the country and 1st in its quality of scientific output (REF2014). The Department hosts several unique research centers, including the new £65M Materials Innovation Factory and Leverhulme Centre in New Materials.
The students admitted onto this programme will:
receive full waiver of tuition and student fees for up to 42 months as long as they make adequate progress.
not be required to demonstrate (teach).
To be eligible, applicants should have:
either a BSc degree or be in the final year of a BSc degree programme in Chemistry (broadly defined) or a related discipline with the overall undergraduate GPA of 80% or better as determined by our admissions office. In exceptional cases, applicants with GPA below 80% will be considered IF they have GRE Quantitative, Analytical and Chemistry scores in 80 percentile or better.
demonstrated aptitude for research in chemistry through, for example, research component of their undergraduate degree.
successfully passed the admissions interview conducted by the staff of the department of Chemistry at the University of Liverpool.
sufficient funds to cover their maintenance (living) expenses at Liverpool (students admitted through this programme may have an opportunity to earn extra money by demonstrating (teaching) and/or through small payments from their research supervisor, but such an arrangement cannot be guaranteed and will be decided on a case-by-case basis after the student is admitted. Consequently, the students should be able to prove access to funds up to £9,135 per year in order to obtain the UK student visa).
These postgraduate studentships are applicable to new entrants as well as continuing students on the Ph.D. Register
What are the requirements for this Award?
Postgraduate studentships are available to new entrants as well as continuing students on the full-time Ph.D. register for entry in September and/or the following March of the same academic year (e.g. September 2017 and/or March 2018). The postgraduate Studentships aim to support and develop gifted research students. They are awarded competitively on academic merit.
How much would I receive?
The postgraduate studentship fully covers EU or non-EU fee and an annual maintenance of €6,500 for three years.
How would this be paid?
Fees will be covered and maintenance is payable monthly via Trinity College payroll directly to your bank account.
Will I have any teaching obligations?
The holder of a postgraduate studentship is required to engage in teaching-related activities, as advised by the appropriate Director of Teaching and Learning (Postgraduate) or his/her nominee, to a maximum of 6 hours per week in teaching term. It is also important to be aware that income received by the award recipient from other sources (such as private tuition, research funding), can be to the maximum annual income level of €18,000 excluding fees but including the studentship maintenance. The receipt of any additional funding must be notified immediately to the Graduate Studies Office and the Staff Office payroll. Postgraduate studentships cannot continue beyond the fourth year on the Ph.D. register.
There are three schemes under which you can apply for scholarship in the academic year 2017/8 (see below). All three have identical academic requirements – a strong research proposal and strong performance on a relevant Masters degree. The main difference between the schemes is in the deadlines for application, but competition will be fierce and you are advised to apply as early as possible.
The results of the Research Excellence Framework (2014) rank the School of Economics 8th among Economics departments for research outputs (Times Higher Education). 91.8% of the School’s research output is scored as either “world-leading” or “internationally excellent”, compared with an average score of 77% across all other Economics departments.