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computer vision PhD Projects, Programs & Scholarships

We have 75 computer vision PhD Projects, Programs & Scholarships

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  Human Motion Analysis using Computer Vision and Deep Learning
Kingston University Faculty of Science, Engineering and Computing
  Dr D Makris
Applications accepted all year round
Analysis of human motion is implicitly or explicitly required in many areas such as healthcare, sports, video surveillance, body-based user interfaces and computer games and animation.
Details
Type/Funding
  PhD Studentship: Computer Vision for Friction and Load-bearing estimation
Loughborough University Wolfson School of Mechanical, Electrical and Manufacturing Engineering
  Dr W Midgley
Application Deadline: 1 January 2019
Reference number. WM012018. Start date of studentship. 1st April 2019. Closing date of advert. 1st January 2019. Interview date. TBC.
Details
Type/Funding
  Vision based maneuvering for autonomous aircraft
Manchester Metropolitan University Faculty of Science and Engineering
  Prof W Holderbaum
Applications accepted all year round
Reference Number. PI-WH-2017-1018-1-PhD. Project Summary. This project investigates the application of computer vision and computational neuroscience in motion control and planning for unmanned aerial vehicles (UAVs).
Details
Type/Funding
  Rolls-Royce sponsored PhD scholarship – Computer vision and robot control for performing on-wing repair of aero-engines
University of Nottingham Faculty of Engineering
  Prof D Axinte
Application Deadline: 31 August 2019
Applicants are invited to undertake a 3 ½ year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering.
Details
Type/Funding
  MRC DTP 4 Year PhD Programme: Use of Machine Learning and Computer Vision to detect Cerebral Microbleeds in SWI MRI
University of Dundee School of Life Sciences
  Dr J Zhang, Dr A Doney, Prof S McKenna
Application Deadline: 18 January 2019
Small areas of bleeding in the brain, known as cerebral microbleeds (CMB), are emerging as important features of an aging brain. Not only are they a marker for unhealthy blood vessels associated with development of dementia, but they also indicate an increased risk of major bleeding in the brain.
Details
Type/Funding
  DTC CS 11 - AI-assisted health and social care - developing state of the art computer vision and machine learning
Swansea University Department of Computer Science
  Dr A Paiement
Applications accepted all year round
This project aims at leveraging and further developing the state-of-the-art in computer vision and machine learning to assist and improve healthcare delivery.
Details
Type/Funding
  Development of Computer Vision System for Remote sensing and processing of satellite images
University of Bradford Faculty of Engineering and Informatics
  Research Group: Visual Computing
  Prof R Qahwaji
Applications accepted all year round
Remote sensing applications require the processing of satellite or drones images to detect regions of interest, and develop a variety of applications such as prediction of natural hazards, tracking of certain events, processing and visualisation of big data sets, etc.
Details
Type/Funding
  Two-stream Machine Learning Architecture based on Deep Learning and HMM for Person Recognition in Images/Videos
Kingston University Faculty of Science, Engineering and Computing
  Dr JC Nebel
Applications accepted all year round
The development of deep learning CNN architectures has led to remarkable progress in the field of computer vision. As a consequence, successful systems are now available for real world applications in a variety of areas including visual surveillance, sports analysis, gaming and security.
Details
Type/Funding
  Interpretation of social behaviours among mice with Parkinson’s disease
University of Leicester Department of Informatics
  Dr H Zhou, Dr J Liu
Application Deadline: 21 January 2019
The extensive use of rodents (e.g., mice) in basic science and animal modelling has created a need for behavioural analytic tools which are reliable and high throughput.
Details
Type/Funding
  Deformable 3D reconstruction of endoluminal anatomy by miniature steerable chip-on-tip endoscopy
King’s College London School of Biomedical Engineering & Imaging Sciences
  Dr C Bergeles
Applications accepted all year round
1st Supervisor - Dr Christos Bergeles. 2nd Supervisor - Professor Kawal Rhode. Chip-on-tip steerable endoscopes are rapidly improving due to tandem innovation in robotics technology and highly-integrated cameras.
Details
Type/Funding
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