The School offers a series of doctoral studentships in cutting edge research areas, including topics related with AI, Machine Learning, Renewable Energy, Human Wearable Devices and many others.
You will have the opportunity to be guided by world leading scientists in an exciting international environment in the heart of the City of London.
Moreover, you will be able to fully exploit the power of our new High Performance Computer (Hyperion) and world class laboratories and facilities. Our Doctoral College will support you with further training in diverse transferrable skills and networking opportunities enabling you to complete your doctoral training with an all-round preparation.
Centrally funded studentships
Two studentships in the School are centrally funded by City, University of London, available to UK, EU and international students.
Full-time students will receive a maintenance grant (currently £19,668 per annum) that will rise in line with UKRI stipends, for three years. Tuition fees are also paid.
Project/consumable costs of £1,500 are provided, while each student may also have the opportunity to earn around £2,200 per year on average (maximum of around £4,300 per year) through a teaching assistantship.
Reinventing the future of financial technologies with autistic adults
This PhD studentship is offered in the Department of Computer Science.
Summary
The introduction of digital technologies into personal money management has unintended and sometimes adverse consequences for citizens. These exacerbate financial exclusion and affect disproportionally those who struggle financially or find themselves in vulnerable circumstances. Despite these problems, the discourse surrounding financial technologies continues to be narrowly focused on their purported benefits, with little attention being paid to their shortcomings and, most importantly, to how they could be addressed.
This PhD will research how the downsides of digitising personal finance could be tackled through design. It will do so through participatory design methods and in collaboration with autistic adults.
Participatory design is an approach to technology design that empowers citizens to actively shape and influence the technology-making process. Autistic adults are a group that has been systematically excluded by technology makers and financial service providers. Given the challenging life and financial circumstances of autistic adults, it is important to assess whether existing financial technologies and services are suitable for their needs and preferences, and whether they are resulting in stigmatising or discriminatory treatment.
In addition, collaborating with autistic adults will yield new, diverse, and innovative perspectives that will help researchers critically assess the current state of financial technologies and push the boundaries of their design.
Eligibility and requirements
The candidate should have an upper second-class BSc/BEng/MEng (or equivalent, or higher) degree in Computer Science, Design, Sociology, Anthropology or Psychology.
They should demonstrate aptitude for original research and possess a good understanding of digital technologies, design and human-computer interaction. Ideally, the successful candidate should have proven skills in design research and qualitative research methods.
Making an application
Visit our Computer Science research degree web page for further information on making a formal PhD application. You should enter the title of the research project as your proposal when applying.
Initial informal enquiries can be made to Belén Barros Pena at belen.barros-pena@city.ac.uk.
Digital Twins for Automated Structural Health Monitoring and Intelligent Maintenance of Floating and Monopile Offshore Wind Turbines
This PhD studentship is offered in the Department of Engineering.
Summary
This project will develop a common digital infrastructure to have a Digital Twin (DT) of both floating and monopile offshore wind turbines. A DT is a cyber-physical system that must represent physical reality at a level of accuracy suited to its purposes. The extent of realism depends on three essentials: modelling, data and visualisation.
In this context, the project will first develop a simulation engine for a realistic numerical representation of the physical behaviour of the assets, combining Finite Elements Analysis (FEA) and multi-physics environments (e.g., wind, waves, earthquakes, etc).
Second, a modern flexible, modular and scalable software architecture will be developed to establish the DT virtual environment, to host and interact with simulation engines.
Third, the DT will be used as a synthetic simulator to produce real-life sensor-like data, of controlled damage and undamaged stages of the assets, for data and Artificial Intelligence (AI) driven solutions for structural health monitoring and damage detection.
Eligibility and requirements
The candidate should have an upper second-class BSc/BEng/MEng (or equivalent, or higher) degree in civil engineering or mechanical engineering.
They should demonstrate aptitude for original research and possess a good understanding of structural dynamics, advanced structural analysis, structural health monitoring and FEA. Ideally, the successful candidate should have proven skills in coding (Python and/or Matlab).
Making an application
Visit our Civil Engineering research degree web page for further information on making a formal PhD application. You should enter the title of the research project as your proposal when applying.
Initial informal enquiries can be made to Dr Miguel Bravo-Haro at miguel.bravo-haro@city.ac.uk.
The closing date for applications to these centrally funded studentships is 14 April 2023.
When submitting your proposal application, enter the title of the research project and you will automatically be considered for the doctoral studentship. You do not need to submit a proposal as part of your application as the project has already been outlined.
For queries regarding the application process, please contact pgr.smcse.enquire@city.ac.uk
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City, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture, for our whole community, including staff, students and visitors. We welcome applications regardless of gender, sexual orientation, disability, marital status, race, nationality, ethnic origin, religion or social class. For more information on our approaches to encouraging an inclusive environment, please see our Equality, Diversity and Inclusion pages.