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image process PhD Projects, Programs & Scholarships

We have 62 image process PhD Projects, Programs & Scholarships

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  PhD Industrial CASE studentship - Deep Learning for Face Image Analytics - Development of strategies for extracting facial attribute knowledge from deep learning architectures on image data
  Dr J Bacardit
Applications accepted all year round
Number of awards. 1. Start date and duration. Academic year 2018/2019 for 4 years. Application closing date. We would like to keep this advert open until a suitable candidate has been identified.
  Radio-frequency Image Processing (EPSRC CDT in Distributed Algorithms)
  Prof K Chen, Dr Y Zheng
Application Deadline: 29 March 2019
This studentship has been developed by the University of Liverpool in partnership with Leonardo. This PhD will develop novel methods for processing modern radar range-Doppler data, using methods taken from image processing and adapting them for use to process very large 2D signal data.
  Domain Specific Optimisation Techniques for Real-time Image/Signal Processing on Heterogeneous FPGA+CPU platform
  Dr D Bhowmik, Dr R Nicol, Prof B Graham
Application Deadline: 31 March 2019
The increasing pervasion of vision systems in a number of application fields like machine vision, autonomous vehicles and systems, wearable and mobile devices, object detection and tracking, brings with it the need for the development of efficient and low power data and image processing capabilities.
  Neptune – Inkjet printing digital image generation and compensation for surface chemistry effects
  Prof C Tuck
Application Deadline: 31 July 2019
PhD studentship Sponsored by Texas Instruments Incorporated (TI). Based at the Centre for Additive Manufacturing (CfAM). University of Nottingham.
  Automated crack detection using image processing
  Dr P Murray, Dr G West
Applications accepted all year round
The accurate detection and quantification of cracks and defects in structures such as. bridges, tunnels, roads and offshore pipelines is important to allow owners and operators of these high value assets to understand and quantify their condition.
  How human teeth form and how that process fails in the inherited condition amelogenesis imperfecta
  Prof C Inglehearn
Applications accepted all year round
Amelogenesis is the process of enamel formation and is essential for the development of functional teeth. Amelogenesis imperfecta (AI) is a failure of that process.
  Deformable 3D reconstruction of endoluminal anatomy by miniature steerable chip-on-tip endoscopy
  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.
  Understanding liquid- liquid systems for the production of fragrances.
  Dr F Alberini, Dr A Ingram
Application Deadline: 29 April 2019
EPSRC supported PhD with Integrated Studies. Understanding liquid- liquid systems for the production of fragrances. Academic supervisors.
  Machine learning aided engine exhaust tomographic imaging
  Dr C Liu
Application Deadline: 31 March 2019
Aero gas turbine engines are meeting ever-increasingly stringent emission requirements on the concentrations of toxic compounds, minimising the adverse environmental effects of civil aviation activities.
  Machine learning techniques for the optimisation and simulation of Metal Additive Layer Manufacturing process chains
  Dr S Bigot, Dr P Kerfriden, Dr Z Ji, Dr M Packianather
Applications accepted all year round
The aim of this PhD is to develop new data analytic tools (e.g. machine learning, data mining) to support the understanding, the optimisation and the Multi-scale and multi-physics simulation of metal Additive Layer Machining (ALM) process chains.
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