Imperial College London Featured PhD Programmes
Imperial College London Featured PhD Programmes
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Computer Science & IT (adaptation) PhD Projects, Programs & Scholarships

We have 12 Computer Science & IT (adaptation) PhD Projects, Programs & Scholarships

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  UsingAffective Computing to Create an Emotional Bond between Users and VirtualAgents for Enhanced Social Interaction
  Dr S ElSayed, Dr D King
Application Deadline: 25 November 2019

Funding Type

PhD Type

With natural user interfaces, the potential for well-designed Human-Computer Interaction (HCI) to improve the human condition increases and it is desired that such interactions are more direct and consistent with human natural behaviour.
  A unified approach based on semantic models and continuous deep learning to sensor data uncertainty and inconsistency in smart systems - Project ID SOC0025
  Prof X Liu, Dr Z Jaroucheh
Applications accepted all year round

Funding Type

PhD Type

Smart IoT (Internet Of Things) based Applications, such as smart city/building/home and smart factory, are characterized as sensor-driven technology, which has the tendency of producing huge volume of data with increasing velocity.
  Deep Learning / Bioinformatics Approach for Protein-Protein Interaction Prediction
  Dr JC Nebel
Applications accepted all year round

Funding Type

PhD Type

Since most molecular processes rely on protein–protein interactions PPIs), knowledge of those interactions is extremely valuable for biomedical research and drug design.
  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.
  Machine Learning and Cognitive Modelling Applied to Video Games
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.
  Analysis of pathogen determinants recognized by the hypervariable immune receptor Dscam
  Dr M Soller
Applications accepted all year round

Funding Type

PhD Type

Background. To mount an immune response, host organisms must first recognize the pathogen with which they are infected. The first line of defense against pathogen infection in animals is provided through the innate immune response.
  Near Real-Time Multiscale Hybrid Surface Water Flooding Risk Forecasting. PhD in Engineering (NERC GW4 + DTP)
  Dr A Chen
Application Deadline: 6 January 2020

Funding Type

PhD Type

Lead Supervisor. Dr Albert Chen, Department of Engineering, Centre for Water Systems, College of Engineering, Mathematics and Physical Sciences, University of Exeter.
  Perceptually-Driven Optimizations of Graphics Content for Novel Displays
  Prof P Didyk
Applications accepted all year round

Funding Type

PhD Type

The Perception, Display, and Fabrication Group at the University of Lugano in Switzerland is looking for Ph.D.
  SCENARIO - Causal discovery algorithms for the study of climate change impacts on the global water cycle
  Research Group: SCENARIO NERC DTP
  Dr M.I. Hegglin, Dr V Ojha
Application Deadline: 24 January 2020

Funding Type

PhD Type

The water cycle plays a critical role in shaping the global environment and supporting life on Earth. Climate change is predicted to lead to changes in the water cycle, affect available water resources, and as a consequence endanger the livelihoods of societies especially in the developing world.
  Mixed-criticality wireless communications over dynamic networks
  Dr L Indrusiak
Applications accepted all year round

Funding Type

PhD Type

Research areas. Autonomous and self-adaptive systems; Cyber Physical Systems; Embedded systems; Real time languages and systems; Safety of autonomous and self-adaptive systems; Simulating complex systems; Wireless Sensor Networks and Internet of Things.
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