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computational intelligence PhD Projects, Programs & Scholarships

We have 40 computational intelligence PhD Projects, Programs & Scholarships

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  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.
  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.
  Intention detection using EEG and facial emotions to model automatic cognitive behavioural therapy system for drug rehabilitation (RDF19/EE/CIS/MISTRY)
  Dr K Mistry
Application Deadline: 25 January 2019
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.
  A Computational Theory of Collective Action
  Prof S Cranefield, Dr J Pitt
Applications accepted all year round
This project will apply computational modelling and simulation to investigate the problem of collective action. explaining how self-interested parties cam be motivated to coordinate their action to achieve a common benefit.
  Automated Big data analysis - to exploit artificial intelligence techniques in order to allow the automation of the data analysis and feature extraction tasks
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round
The amount of data in today’s world is ever increasing, and has even led to new terms describing this as in Big Data.
  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 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.
  Neuromorphic Nanophotonic Systems for Artificial Intelligence
  Dr A Hurtado, Dr M Strain
Application Deadline: 15 February 2019
Start date. March 2019. Duration. 3 yrs. Background. Neuromorphic Photonics is an emerging discipline focusing on the development of light-enabled technologies inspired by the powerful computational capabilities of the brain for novel paradigms in information processing beyond traditional digital systems.
  Decision making through artificial chemical intelligence
  Dr J Slattery, Prof I J S Fairlamb
Applications accepted all year round
Automation will transform the chemical landscape. Powerful robotic platforms can perform reactions or analyses much more rapidly than traditional approaches.1 Ever faster computers allow huge numbers of molecules to be studied in an automated way using computational chemistry.
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