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AI & Machine Learning PhD Projects, Programs & Scholarships in Cardiff

We have 5 AI & Machine Learning PhD Projects, Programs & Scholarships in Cardiff

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  Numerical simulation of water repellent soils
  Prof P Cleall, Prof A D Jefferson
Application Deadline: 31 July 2020

Funding Type

PhD Type

3 Years October 2020. This industrially supported project will focus on representing the processes related to, and assessing the impact of, hydrophobicity on soil behaviour via the development of novel models and their solution utilising established numerical techniques.
  Attenuating and controlling the environmental impact of buildings and districts through real-time life cycle assessment
  Prof Y Rezgui, Dr T Beach, Dr I Petri
Application Deadline: 31 May 2020

Funding Type

PhD Type

3.5 Years October 2020. Current LCA (Life Cycle Assessment) methods present important limitations and gaps, including.
  VC International Scholarship in Semantic Data Integration and Modelling Towards a Forest Observatory (eligibility criteria apply)
  Research Group: Complex Systems
  Dr C Perera, Prof O F Rana
Application Deadline: 1 June 2020

Funding Type

PhD Type

Poaching is a significant challenge around the world. Anti-poaching efforts are always under-funded and under-resourced. Law enforcement officers cannot keep up with a large number of poachers who are trying to kill animals.
  VC International Scholarship in Combination of Deep Learning and Traditional Methods for Lung Tumour Image Segmentation (eligibility criteria apply)
  Research Group: Visual Computing
  Dr X Sun, Dr Y Qin
Application Deadline: 1 June 2020

Funding Type

PhD Type

According to World Cancer Report by WHO, Lung cancer is the most common cancer type worldwide in terms of both incidence (2.1 million new cases in 2018) and mortality (1.8 million deaths in 2018).
  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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