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PhD Scholarships: Artificial Intelligence, Machine Learning and Advanced Computing

Bangor University - UKRI Centre for Doctoral Training in Artificial Intelligence

Qualification Type: PhD
Location: Bangor
Funding for: UK Students, EU Students
Funding amount: See advert text.
Hours: Full Time
Placed On: 14th January 2021
Closes: 12th February 2021

Three fully-funded 4-year PhD scholarships are available starting in October 2021 in the area of Artificial Intelligence machine learning and advanced computing. The PhDs are suitable for graduates with an interest in AI algorithms for data analytics, visualisation and image analysis.

The 4-year PhD scholarships, will sit within the UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing (CDT-AIMLAC, http://cdt-aimlac.org/). The students will be based at Bangor University, located within the School of Computer Science and Electronic Engineering. Funding will cover the full cost of UK/EU tuition fees and an annual stipend of £15,285. Additional funding is available for research expenses.

Candidates must identify their preference of at least two projects from the following. Additional information of the projects can be found here.

  • Edge-based object recognition for immersive analytics in Web-based XR. It will investigate distributed neural networks (DNN) as a mechanism for in-situ registration and data processing for mobile, Web-based Immersive Analytics (IA) in Extended Reality (XR). Supervisor: Dr Panagiotis (Panos) Ritsos. Second supervisor: Professor Jonathan C. Roberts.
  • FLOOD-AI: Using Artificial Intelligence to Investigate the Impact of Land Management Decisions on River Flood Risk. AI techniques that can help improve the ability of hydrological models to predict the impact of land use change on river flood risk. Supervisor: Dr Sopan Patil. Second supervisor: Dr Panagiotis (Panos) Ritsos.
  • Predicting the “Relative” Coastal Weather and Conditions. This research will investigate how Artificial Intelligence algorithms and ANN (artificial neural networks) can be used to develop a novel Met Ocean prediction tool integrating user confirmatory feedback. Supervisor: Peter Robins. Second supervisor: Matt Lewis.
  • Ensembles of Deep Neural Networks for Semi-supervised Learning. New ensemble methods will be devised based on robust training and testing protocols. Supervisor: Prof Ludmila Kuncheva. Second supervisor: Dr Franck Vidal.
  • Bringing big-data to social science. It will use bespoke Natural Language Processing (NLP) to analyse qualitative data from national surveys, using Super Computing Wales. Supervisor: Dr Simon Willcock. Second supervisor team: Dr William Teahan and Prof Jonathan Roberts.
  • Optimization of co-located offshore wind and wave energy arrays. This project will apply genetic algorithms to determine the optimal device configuration, and run models on Supercomputing Wales. Supervisor: Prof Simon Neill, Dr David Christie.
  • Artificial Intelligence to engender Fast Visualization Ideation Design. Investigating deep learning, ideation techniques, recommender system techniques for visualisation design. Supervisor Professor Jonathan C. Roberts. Second supervisor Dr Panagiotis (Panos) Ritsos.

You will be required to attend taught components in year 1 (such as foundations of AI, research methods, information visualisation), residential meetings at Aberystwyth, Bristol, Cardiff or Swansea Universities, deliver responsible innovation, and engage with placements with external partners throughout the four-year programme. Placements may be six-month, or shorter three-month or two-week blocks. You will be registered at Bangor University, hosted by the School of Computer Science and Electronic Engineering throughout study, with the delivery of the related training in the PhD programme being shared between the Universities of Aberystwyth, Bangor, Bristol, Cardiff and Swansea.
Closing date for applications: 12th February 2021. 

Please apply via the application system at: https://apps.bangor.ac.uk/applicant/

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