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

We have 56 Computer Science & IT (intelligent) PhD Projects, Programs & Scholarships

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  PhD studentship opportunity in intelligent Transport Systems: Identifying Weaknesses as a Result of Ambiguous or Inconsistent Specifications in Transport Protocols
  Dr D Williams, Dr S Schneider
Applications accepted all year round

Funding Type

PhD Type

Intelligent Mobility aims to increase the safety and efficiency of transporting people and goods by utilizing advances in ICT.
  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.
  A Vision Enriched Intelligent Agent with Image Description Generation for Monitoring Well-being in the Elderly (Advert Reference: ERDF19/EE/CIS/ZHANG)
  Dr L Zhang
Application Deadline: 8 July 2019

Funding Type

PhD Type

This research addresses limitations in health and well-being monitoring for the elderly within RPPtv’s existing deployed cloud-based intelligent platform.
  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.
  Adaptive security threat detection for small footprint computing devices within industrial control systems, intelligent homes, medical devices & smart infrastructure
  Research Group: Cyber Security and Networking Research Group
  Dr A Winckles, Dr M Graham
Applications accepted all year round

Funding Type

PhD Type

Research Group. Cyber Security and Networking Research Group. (https://www.anglia.ac.uk/science-and-technology/research/our-research-institutes-and-groups/cyber-security-and-networking-research-group).
  Intelligent Mobile Robotics System
  Dr M Abbod
Applications accepted all year round

Funding Type

PhD Type

Research on a six legged mobile robotics which is currently used in the research labs. The robot can be equipped with sonar sensors, vision system and communication system.
  Making an e-Learning Tutorial Environment for Mathematics and/or Engineering “Intelligent” :The Design, Implementation and Evaluation of a Tutorial System that Learns from Students’ Mistakes
  Dr M Davis, Dr G Hunter
Applications accepted all year round

Funding Type

PhD Type

Over recent years, many computer-based tutorial systems have been developed, including some covering various mathematical and engineering topics.
  Real Time Intelligent Systems for Supporting People Living with and Beyond Cancer
  Dr S Nabhani-Gebara, Dr R Kayyali
Applications accepted all year round

Funding Type

PhD Type

People living with and beyond cancer (PLWBC) face many challenges, including failure of communications with their clinical team and sub optimal support for early detection of symptoms and adverse events that can have a detrimental effect on their ongoing care1.
  The Applications of an Intelligent Data Warehouse for Athlete Performance and Wellbeing
  Dr A Palczewska
Application Deadline: 21 July 2019

Funding Type

PhD Type

The PhD candidate will be expected to propose and develop a system to support and enable advanced data management systems and integration for sports in general and rugby league in particular.
  Intelligent Big Data Analytics for Manufacturing and Engineering Applications
  Research Group: Applied Computing
  Dr S Konur
Applications accepted all year round

Funding Type

PhD Type

Information processing and understanding using AI and machine learning is seen as a future growth direction to deal with increasingly large and complex data-sets, making sense of ambiguity in data that is often noisy and not always robust.
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