About the Project
The aim of this PhD project is to design the next generation of AI systems to augment human intelligence and work alongside humans. These new AI systems will be (i) lifelong learning machines – which combine the rigour of deep learning and flexibility of human to avoid catastrophic forgetting after conventional re-learning, (ii) explainable – where the AI systems are capable of explaining how it reaches a decision by visual and textual analytics, (iii) respect human values – with guided learning, AI systems can embed moral values or common sense into the decision. The learning process of new AI systems will amalgamate guided analytics with automated machine learning. This allows users to add their expertise when it is necessary and, consequently, automate the standard pieces of the analysis. The PhD project will develop AI models that behave with human-machine intelligence and to enable users to yield higher performance which is not reachable without these intelligent machines.
This project is supervised by Professor Wai Lok Woo.
Eligibility and How to Apply:
Please note eligibility requirement:
• Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement.
• Appropriate IELTS score, if required.
For further details of how to apply, entry requirements and the application form, see
Please note: Applications that do not include a research proposal of approximately 1,000 words (not a copy of the advert), or that do not include the advert reference (e.g. SF19/EE/CIS/WOO) will not be considered.
Start Date: 1 March 2020 or 1 October 2020
Northumbria University takes pride in, and values, the quality and diversity of our staff. We welcome applications from all members of the community. The University holds an Athena SWAN Bronze award in recognition of our commitment to improving employment practices for the advancement of gender equality and is a member of the Euraxess network, which delivers information and support to professional researchers.
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