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computational intelligence PhD Projects, Programs & Scholarships

We have 38 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

Funding Type

PhD Type

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

Funding Type

PhD Type

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.
  Intelligent Human-Robot Collaboration for Smart Factory
  Dr Y Lu
Applications accepted all year round

Funding Type

PhD Type

Recent advances in sensing, computational intelligence, and big data analytics have been rapidly transforming and revolutionizing the manufacturing industry towards robot-rich and digitally connected factories.
  Automatic micro and mixed emotion recognition system for Human-robot interaction (Advert Reference: SF18/CIS/MISTRY)
  Dr K Mistry
Applications accepted all year round

Funding Type

PhD Type

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.
  EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (IGGI)

Funding Type

PhD Type

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

Funding Type

PhD Type

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.
  Decision making through artificial chemical intelligence
  Dr J Slattery, Prof I J S Fairlamb
Applications accepted all year round

Funding Type

PhD Type

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.
  EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (IGGI)

Funding Type

PhD Type

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.
  Mobile Edge Intelligence for Time Critical IoT
  Assoc Prof Qi Zhang, Assoc Prof Alexandros Iosifidis
Application Deadline: 1 November 2019

Funding Type

PhD Type

A variety of emerging Internet of Things (IoT) applications, e.g., AR/VR, digital twins, autonomous vehicles, and robotic control, require real-time artificial intelligence decision feedback.
  Development of novel artificial intelligence algorithms for network wide metabolic flux analysis with stable isotope tracers
  Dr C Ludwig, Dr S He
Applications accepted all year round

Funding Type

PhD Type

The efficient function of the metabolic network in eukaryotic cells relies on its separation into a number of closely-linked but metabolically distinct compartments.
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