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Computer Science & IT PhD Projects, Programs & Scholarships in Southampton

We have 8 Computer Science & IT PhD Projects, Programs & Scholarships in Southampton

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  Using Artificial Intelligence to Study Variations in Gas Turbine Performance
  Research Group: Computational Engineering and Design
  Dr D Toal, Prof A Keane
Application Deadline: 30 June 2019
Artificial Intelligence (AI) allows the rapid processing of images. In the context of gas turbines this means that scans and video imaging of engine parts could be automatically assessed for variations in shape that can have significant impact of fuel consumption and engine life.
  Artificial Intelligence and Machine Learning for Efficient Collaborative Design
  Research Group: Computational Engineering and Design
  Dr D Toal, Prof A Keane
Application Deadline: 30 June 2019
Modern high value engineering design activities can involve collaboration between many engineers across many departments and perhaps even different countries around the world.
  Intelligent Human-Machine Interaction for Engineering Design
  Research Group: Computational Engineering and Design
  Dr D Toal, Prof A Keane
Application Deadline: 30 June 2019
How will the future design engineer interact with their computer systems? Speaking to the computer? Virtual Reality? Automatic storage of design rules/styles…
  Geometry Beyond CAD
  Research Group: Computational Engineering and Design
  Dr D Toal, Prof A Keane
Application Deadline: 30 June 2019
How do we represent more complex shapes during engineering design and analysis? 3D printing, (additive manufacturing) and incorporation of image scan data (from manufacturing and in service) both result in shapes that are not easily captured by arcs and straight lines.
  Automated Verification and Synthesis through Coalgebras
  Dr C Cirstea
Application Deadline: 30 June 2019
Project description. As part of this project, you will work on developing new foundations for quantitative verification, grounded in the theory of coalgebras.
  UKRI Centre for Doctoral Training in Machine Intelligence for Nano-electronic Devices and Systems (MINDS)
Study for a fully funded, four-year integrated PhD in Hardware-Enabled Artificial Intelligence. Great MINDS Think Differently.
  Electrostatic Array Sensor Correlation with Known Wear and Contact Distress Mechanisms
  Prof R J K Wood
Application Deadline: 30 April 2019
This project is in the area of monitoring the performance of contacting surfaces within components of heavy machines using novel sensing systems (electrostatic sensor arrays ESA) and advanced machine learning techniques.
  Developing 3D printing techniques for the fabrication of integrated optical circuits
  Prof P Smith, Dr C Holmes
Applications accepted all year round
From its inception 3D printing has been applied to a range of fields. Photonics is an emerging field into which additive and subtractive laser manufacture techniques are being applied to enhance manufacturing capability.
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