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object recognition PhD Projects, Programs & Scholarships

We have 17 object recognition PhD Projects, Programs & Scholarships

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  Social Human-Robot interaction using visual object recognition and hand pose estimation
  Dr A Galata, Prof A Cangelosi
Applications accepted all year round
Recent advances in Machine Learning (Deep learning), Robotics and Computer vision have naturally led to an interest in techniques that enable Human-Robot interaction within a social setting.
  The role of non-synaptic interactions in odour object recognition
  Prof T Nowotny, Prof G Kemenes
Application Deadline: 31 January 2019
Odorants are chemicals in the air that animals can detect with their olfactory organs to gather information about their environment.
  Deep Learning Driven Intelligent Internet of Things (RDF19/EE/CIS/WEI)
  Prof B Wei
Application Deadline: 25 January 2019
Internet of Things (IoT) have been widely applied in many fields, such as smart homes/cities and industry monitoring, as an indispensable enabler to the realisation of Industry 4.0.
  PhD/Graduate Teaching Assistants (GTAs) - Computer Science
A fantastic opportunity to study for a fully funded doctorate whilst gaining valuable teaching experience. Graduate Teaching Assistants hold a unique position in the University, being both registered students and carrying out teaching/teaching support duties.
  Biologically Inspired Deep Learning for Speech Information Processing
  Dr K Chen
Applications accepted all year round
Deep learning is a machine learning methodology via using hierarchical architectures of many layers to learn abstractive yet informative representations from raw data.
  Neurocognitive mechanisms of person perception
  Prof P Downing
Application Deadline: 1 March 2019
Project rationale and description. Prof Downing’s research is in the area of social perception. What are the neurocognitive mechanisms that transform perceptual data into reliable, socially-relevant signals about the people around us? Some recent and current studies in the lab examine.
  DL-Assisted Interpretation and Upscaling of Petrophysical Properties in Carbonate Rocks
  Research Group: Institute of Petroleum Engineering
  Dr Z Jiang, Dr H Lewis
Application Deadline: 1 February 2019
Resources. SEM/CT images, in-house software tools (pore network model, Lattice-Boltzmann method, Tensorflow/ PyTorch/ Scikit-learn libraries).
  Bayesian Uncertainty Quantification for Clustering Problems
  Research Group: Statistics
  Dr W Yoo, Dr S Liverani
Applications accepted all year round
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2019 for students seeking funding, or at any point in the academic year for self-funded students.
  MRC DiMeN Doctoral Training Partnership: Functional Characterization of a Truncation Mutation Associated with Intellectual Disability
  Dr S Clapcote, Prof C Inglehearn, Dr M Ali
Application Deadline: 21 January 2019
Intellectual disability (ID) is a common neurodevelopmental disorder with an onset of cognitive impairment before the age of 18 years and is characterized by significant limitations in intellectual functioning and adaptive behaviour.
  Towards a Functional Model for Associative Learning and Memory Formation
  Dr J Liu, Prof R Quian Quiroga
Application Deadline: 21 January 2019
Associative learning is one of the most fundamental modes of learning and memory formation in humans alike. However, the neuronal models underlying the associative learning remain elusive.
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