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AI & Machine Learning (equality) PhD Projects, Programs & Scholarships

We have 18 AI & Machine Learning (equality) PhD Projects, Programs & Scholarships

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Showing 11 to 18 of 18
  Distributed artificial intelligence for Internet of things (Application Ref: SF19/EE/CIS/JIN)
  Dr N Jin, Dr X Dai
Applications accepted all year round

Funding Type

PhD Type

Internet of things (IoT) has been transforming many industrial sectors and our daily life, for example digital manufacturing, smart grid and digital living.
  Exploring the impact of intelligent technologies in everyday work and collaboration practices (Application Ref: SF19/EE/CIS/VASILIOU)
  Dr C Vasiliou, Prof S Lawson
Applications accepted all year round

Funding Type

PhD Type

Our experience with technology is spread across devices, personal or shared, with physical or digital tools, and over time.
  Human-Centred Artificial Intelligence with Guided Learning (Application Ref: SF19/EE/CIS/WOO)
  Prof W L Woo, Dr B Wei
Applications accepted all year round

Funding Type

PhD Type

Applications based on artificial intelligence (AI) are increasingly informing decisions in critical areas of our society – including strategy, defence and policymaking, to name but a few.
  Improving Customer Experience for Automobile Part Retailing Process with Machine Learning Algorithms (Application Ref: SF19/EE/CIS/LI)
  Dr H Li, Dr MN Anwar
Applications accepted all year round

Funding Type

PhD Type

The project aims at developing a system with the reverse image search method for car part business processes, e.g, order fulfilling and stock management process.
  Zero Shot Cyber Event Detection (Application Ref: SF19/EE/CIS/YANG)
  Dr L Yang, Dr B Issac
Applications accepted all year round

Funding Type

PhD Type

Adverse cyber events, either distributed/spreading attacks or targeted one-off attacks, are happening all the time in the cyber space, leading to a tremendous loss economically and socially.
  Digital Pathology – transforming paediatric brain tumour classification through machine learning (Ref: SF20/APP/SCHWALBE)
  Dr E Schwalbe
Applications accepted all year round

Funding Type

PhD Type

Medulloblastoma is the most common central nervous system tumour of childhood. Although advances in treatment have raised survival to ~75%, there remains significant numbers of patients who die of their disease.
  Estimation of food portion sizes through smartphone images (Ref: SF20/APP/BROWNLEE1)
  Dr I Brownlee
Applications accepted all year round

Funding Type

PhD Type

Accurate and precise assessment of dietary intake is crucial to consideration of population-to individual-level patterns of food consumption with clear links to consequent impacts on long-term health and national/global food requirements.
  Monitoring Safety Critical Systems’ Situational Awareness (Self-Funded Students Only)
  Research Group: Complex Systems
  Dr N Saxena
Applications accepted all year round

Funding Type

PhD Type

Safety-critical systems (SCS) are considered prone to high-risk hazards and components’ failure. Any undesirable and unexpected incidents or events can result into severe damage to the system components, serious injury or death to the people, or other environmental losses.
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