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

We have 6 Computer Science & IT (adaptation) PhD Projects, Programs & Scholarships

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  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.
  Information Extraction from Scientific Texts to support Nature-Inspired Engineering (EPS2020/39)
  Prof M Desmulliez
Application Deadline: 28 February 2020

Funding Type

PhD Type

Nature has inspired various highly innovative engineering solutions, such as Velcro, the Japanese bullet train and others. Solving engineering problems using Nature requires however specific and interdisciplinary domain knowledge.
  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.
  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.
  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.
  Investigations into autonomous adaptable hardware
  Research Group: Intelligent Systems and Nanoscience
  Prof A M Tyrrell
Applications accepted all year round

Funding Type

PhD Type

For systems to become truly autonomous we must develop methods that will allow hardware devices/systems to adaptable in an intelligent and appropriate way to environmental changes and component failures.
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