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e learning PhD Projects, Programs & Scholarships

We have 250 e learning PhD Projects, Programs & Scholarships

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  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.
  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.
  Deep learning for well-being assessment using wearable data - PhD
  Dr R Paulin
Application Deadline: 30 April 2019
Summary. Photoplethysmography (PPG) is widely used in wearables to record heart activity.
  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.
  Self-Learning Intrusion Detection System Through Machine Learning (Advert Reference: SF18/CIS/ISSAC)
  Dr B Isaac
Applications accepted all year round
As network applications are increasingly used with the popularity of broadband networks and Internet of Things (IoT), network security is a very important issue.
  MRC DTP 4 Year PhD Programme: AI-Spot-Dementia (AISDA): developing machine learning algorithms to predict the risk of dementia for patients with Type 2 Diabetes
  Dr J Zhang, Prof D Steele, Dr A Doney, Prof E Trucco
Application Deadline: 18 January 2019
The aim of this PhD proposal is to develop novel machine learning algorithms (e.g., deep learning) to predict the risk of dementia in Type 2 diabetes, and detect early signs of such disease with association of clinical and genomic data in clinical settings.
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