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e learning PhD Projects, Programs & Scholarships

We have 224 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.
  Impact and effectiveness of Industry-Focused Teaching in the Scottish workplace and the influence of subject discipline to its success.
  Dr G Droubi, Dr P Churn
Application Deadline: 31 March 2019
Project Summary. There is now, more than ever, a significant emphasis on the workplace as an educational environment to enrich vocational learning, support learners in sustaining careers and create a skills pipeline to meet future needs and jobs in growing fields.
  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.
  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.
  Intelligent Automated Interpretation and Reporting of Medical Images
  Dr E Chung, Dr M Zare
Application Deadline: 3 April 2019
Over the last decade, the quantity of digital medical imaging data held by NHS hospitals and other healthcare establishments has increased dramatically.
  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: 19 April 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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