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computational intelligence PhD Projects, Programs & Scholarships

We have 41 computational intelligence PhD Projects, Programs & Scholarships

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  Machine learning and computational intelligence
  Prof P Andras
Application Deadline: 31 March 2019
To work on the development and application of machine learning and computational intelligence methods to address biomedical and engineering problems characterised by large volumes of complex data.
  Exploring the relationship between Tinto’s Personal Attributes and retention in Computer Science degree programmes (Advert Reference: SF18/CIS/PRICKETT)
  Dr T Prickett, Dr L Zhang, Dr M Harvey
Applications accepted all year round
The aim of this project is to explore the relationship between Computer Science students’ personal attributes and their retention at University.
  Computational Modelling of Biological Visual Processing Utilising MEA Electrode Arrays
  Prof TM McGinnity
Applications accepted all year round
Over 60 million people worldwide are blind and this number is rising as the global population ages. There are a number of major eye diseases, many of them associated with the retina and in addition many chronic diseases have manifestations in the eye.
  Adaptive Predictive Simulation Modelling Using the Digital Twin Paradigm
  Dr Ed Apeh, Prof V Katos
Application Deadline: 2 June 2019
Structural integrity management (SIM) involves the application of qualified standards, by competent people, using appropriate processes and procedures throughout the structure’s life cycle, from design through to decommissioning, to ensure that through an ongoing process of risk management the structure’s continued fitness-for-purpose (FFP) is maintained.
  Automatic micro and mixed emotion recognition system for Human-robot interaction (Advert Reference: SF18/CIS/MISTRY)
  Dr K Mistry
Applications accepted all year round
Facial expression is one of the most effective means for human beings to indicate emotions, feelings and intentions. Literature shows that facial expression contributed to about 55% effect of overall emotion expression during social interactions.
  Modelling Brain-Like Intelligence in an evolutionary context for AI applications
  Dr M J Proulx, Dr A A de Sousa, Prof E J O'Neill
Application Deadline: 16 April 2019
A challenge for AI research is to operate autonomously in natural environments. Although many organisms can respond adaptively to the natural world in milliseconds, the computational complexity in interpreting natural images is an on-going fundamental problem.
  EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (IGGI)
Up to 12 fully-funded PhD studentships to start September 2019. Covers fees at Home/EU rate and a stipend for four years. IGGI is an exciting opportunity for you to undertake a four-year PhD in Intelligent Games and Game Intelligence, working with top games companies and world-leading academics in games research.
  EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems
We are looking for people who are committed to changing the world via world-class research that focuses on amplifying human capabilities through the use of data-driven and intelligence enabled systems.
  EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (IGGI)
Up to 12 fully-funded PhD studentships to start September 2019. Covers fees at Home/EU rate and a stipend for four years. IGGI is an exciting opportunity for you to undertake a four-year PhD in Intelligent Games and Game Intelligence, working with top games companies and world-leading academics in games research.
  Employing artificial intelligence & machine learning to optimise flood control for 21st Century cities
  Prof O Bokhove
Applications accepted all year round
Summary Rational and unique mathematical strategies for active flood control will be developed and tested in the design of flood alleviation schemes for UK rivers, such as Yorkshire’s Aire and Calder Rivers, based on increasing flood-plain storage capacity.
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