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gan PhD Projects, Programs & Scholarships

We have 9 gan PhD Projects, Programs & Scholarships

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Showing 1 to 9 of 9
  The design of bi-directional power switching GaN devices applied to matrix converters using modern computational techniques
  Dr S Cirstea, Prof M Cirstea
Applications accepted all year round
Research Group. Infomatics, Computing and Electronics (ICE) Research Group. https://www.anglia.ac.uk/science-and-technology/research/our-research-institutes-and-groups/informatics-computing-and-electronics.
  Multiphysics Characterisation of 0.25 μm GaN/SiC HEMT Power Device for 5G Communication Applications
  Dr S Ekpo
Applications accepted all year round
Reference Number. I4.0Com-SE-2018-2-PhD. Project Summary. Global research interests to satisfy the stringent requirements of the emerging 5G radio access technology (RAT) are increasing.
  PhD Student in Novel Sensor Technology for High-Temperature Environments
  Dr B Benbakhti, Prof W Zhang
Applications accepted all year round
Demand for sensors is considered to be the next growth engine and core business for semiconductor industry. Semiconductor sensors market is expected to reach $432 billion by 2020, with an estimated rapid annual growth rate of >10%.
  Deep learning enabled resource allocation for future wireless networks
  Dr G Zheng
Application Deadline: 28 January 2019
Reference number. WS05. Start date of studentship. 1st October 2019. Closing date of advert. 28th January 2019. Interview date. TBC.
  Fracture permeability response to the gas adsorption/desorption process in organic rocks by coupled Hydro–Mechanical modelling
  Dr G Quan, Dr K Wu
Applications accepted all year round
Gas adsorption/desorption is an essential process related to gas transport in fractured organic rocks, such as coals and organic-rich shales.
  Deep neural network for photographing in the dark (GONGH2U19SF)
  Dr H Gong, Prof G D Finlayson
Application Deadline: 31 May 2019
Have you ever struggled in taking a good photo in low light? Despite of the dramatic improvements in camera sensors, imaging in darkness is still challenging because in many conditions, there is simply too little light on the scene and the imaging sensors are sensitive to noise in these conditions.
  Single Image 3-D Geometry Estimation using Unsupervised Machine Learning (GONGH1U19SF)
  Dr H Gong, Prof G D Finlayson
Application Deadline: 31 May 2019
Most current deep Neural Networks are trained by supervised learning which usually requires massive amounts of manually labelled data (e.g.
  Deep ultraviolet LED devices for few-photon optical communications and imaging
  Prof M Dawson, Dr J Herrnsdorf
Application Deadline: 31 March 2019
Start date. October 2019. Duration. 3.5 yrs. Background. Conventional optical communications is based on fibre-optic networks operating in the near-infrared.
  Adversarial Deep Learning Theory and Its Application
  Dr K Huang, Dr Y Goulermas
Applications accepted all year round
The objective of this project is to engage the robust minimax theory to develop a unified adversarial classification framework that takes into account uncertainty from data.
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