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e learning PhD Projects, Programs & Scholarships

We have 357 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

Funding Type

PhD Type

Traditionally there are two main paradigms in machine learning, supervised vs. unsupervised learning.
  Zero-Shot Learning and Applications
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

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.
  Biologically-Plausible Continual Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Continual learning (aka lifelong learning) refers to a problem on how a learning system learns multiple tasks in succession over the lifespan where later tasks do not degrade the performance of the system learned for the earlier tasks and, ideally, the system can leverage the knowledge learned in previous tasks to facilitate learning the new tasks better.
  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  Towards a functional model for associate learning and memory formation
  Dr J Liu, Prof R Quian Quiroga
Application Deadline: 7 June 2020

Funding Type

PhD Type

The aim of this project is to study the most up-to-date experimental data regarding single-neuron and network learning and coding in humans, with the expectation that a functional model could be established thereon.
  Source-code similarity detection using deep learning
  Dr G Cosma
Application Deadline: 1 September 2020

Funding Type

PhD Type

Deep learning is a subset of machine learning in artificial intelligence (AI) that is capable of learning from data.
  Automatic Music Generation via Deep Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Music appears as an art form and cultural activity whose medium is sound organized in time, which is an ultimate language for human beings.
  Machine Learning and Cognitive Modelling Applied to Video Games
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.
  Deep Learning Architectures for Bioimaging Multiscale Analysis; Form Cell to Full Body Scans.
  Prof B Matuszewski
Application Deadline: 30 June 2020

Funding Type

PhD Type

The ongoing advances in mathematical modelling, the growing prevalence of large datasets, ever-increasing computational power and progress in biomedical imaging devices established biomedical image computing as a mature scientific discipline with a rapidly growing number of applications.
  Simulation and optimisation of a spacecraft propulsion system based on a Field Reversed Configuration plasmoid using deep learning and machine learning algorithms
  Dr P Shaw
Applications accepted all year round

Funding Type

PhD Type

This project aims to investigate an enabling technology for a more significant and complex system based on a High-Energy Density Electromechanical Thruster based on Stabilized Liner Compression of Plasma that could lead to manned exploration of the Solar system [1].
  Multimodal Deep Learning for Context Awareness (Application Ref: SF19/EE/CIS/WEI)
  Dr B Wei, Prof W L Woo
Applications accepted all year round

Funding Type

PhD Type

Context-awareness plays an essential role in a smart building, including many applications such as indoor localisation, activity recognition, identity recognition, etc.
  Information Component Analysis via Deep Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

As their prominent characteristics, perceptual data often convey the mixing information, which often results in the inadequate performance for a specific perceptual information processing task due to the interference of irrelevant information components.
  Artificial Intelligence and Machine Learning to Deliver Enhanced Through-Life Nuclear Asset Management
  Prof S McArthur, Dr B Brown
Applications accepted all year round

Funding Type

PhD Type

The University of Strathclyde’s Advanced Nuclear Research Centre (ANRC) is offering a 3 year fully funded PhD in the field of industrial informatics, to investigate the application of Artificial Intelligence (AI) and Machine Learning (ML) techniques to Prognostics and Health Management (PHM) in the nuclear industry.
  Employee Engagement and Workplace Learning emerging from Matrix Structures in Digital Manufacturing Organisations (Advert Reference: SF19/BL/LHRM/ROCA)
  Dr T Roca, Dr D Bennett
Applications accepted all year round

Funding Type

PhD Type

International organisations are increasingly seeing changes to traditional operational procedures through innovative Digital Technology, due to continual developments in information technology and communication (Roca and Bennett, 2018).
  Human-Centred Artificial Intelligence with Guided Learning (Application Ref: SF19/EE/CIS/WOO)
  Prof W L Woo, Dr B Wei
Applications accepted all year round

Funding Type

PhD Type

Applications based on artificial intelligence (AI) are increasingly informing decisions in critical areas of our society – including strategy, defence and policymaking, to name but a few.
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