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learning PhD Projects, Programs & Scholarships

We have 732 learning PhD Projects, Programs & Scholarships

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  Multi-task Learning and Applications - developing novel learning systems and learning algorithms for multi-task learning
  Dr K Chen
Applications accepted all year round
In traditional machine learning, a learning system can be trained to deal with a specific single task, while human is able to complete multiple tasks with the same learning strategy.
  Ensemble Strategies for Semi-Supervised, Unsupervised and Transfer Learning
  Dr K Chen
Applications accepted all year round
Traditionally there are two main paradigms in machine learning, supervised vs. unsupervised learning.
  Zero-Shot Learning and Applications - investigating effective zero-shot learning techniques as fundamental research and their applications in real world problems
  Dr K Chen
Applications accepted all year round
Zero-shot learning refers to a novel paradigm on learning how to recognise new concepts by just having a description of them. For example, zero-shot learning works on a setting of solving a classification problem when no labelled training examples are available for all classes, which are divided into two class subsets.
  Shaping memories during sleep - how learning-related changes in the sleeping brain impact long-term memory
  Dr B Staresina, Dr S Hanslmayr
Application Deadline: 6 January 2019
Why do we sleep? Considering that we spend roughly a third of our lives asleep, seemingly unproductive and vulnerable, there must be an immense evolutionary benefit to sleep.
  Robotics and Machine Learning: Exploring a novel artificial intelligence method, Turing Learning
  Dr R Gross
Applications accepted all year round
This project explores a novel artificial intelligence method, called Turing Learning [2], that enables robots to model themselves, each other or their environment without prior information.
  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.
  Social Learning in Artificial Evolutionary Systems
  Dr J Borg
Applications accepted all year round
Artificial evolutionary systems, be they simulated or grounded in physical robots, provide a novel and cutting-edge way to investigate the emergence and evolution of adaptive and intelligent behaviours.
  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.
  Competition and facilitation in predictive and causal learning
  Dr G Urcelay, Dr J Prados
Applications accepted all year round
The study of learning, memory and decision making has, by and large, been built upon behavioural deficits observed in these domains.
  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round
Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
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