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University of Manchester Information Science PhD Projects, Programs & Scholarships

We have 11 University of Manchester Information Science PhD Projects, Programs & Scholarships

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  (BBSRC DTP) A new animal test of emotional cognition
  Dr J Gigg, Dr D Talmi, Prof J Neill
Application Deadline: 31 January 2019
This project will create and implement a new animal test for emotional biases in attention and memory that is more closely linked with the impact that emotion has on the same functions in humans.
  Exploring the influence of treatment on CD4+ T-cell sub-populations in patients receiving biologic drugs for their inflammatory arthritis
  Prof A Barton, Dr D Plant, Dr S Viatte
Applications accepted all year round
Background. Tumour necrosis factor inhibitor (TNFi) therapy is ineffective for approximately 20% of rheumatoid arthritis (RA) patients and there is currently no way to predict which patients will not benefit.
  Automatic Activity Analysis, Detection and Recognition
  Dr K Chen
Applications accepted all year round
Activity detection, analysis and recognition are related to several important areas in machine perception research and applications.
  Automatic Emotion Detection, Analysis and Recognition.
  Dr K Chen
Applications accepted all year round
Affective computing is a branch of Artificial Intelligence that relates to, arises from, or deliberately influences emotion and other affective phenomena.
  Contextualised Multimedia Information Retrieval via Representation Learning
  Dr K Chen
Applications accepted all year round
Multimedia Information Retrieval (MIR) is an important research area in AI that aims at extracting semantic information from multimedia data sources including perceivable media such as audio, image and video, indirectly perceivable sources such as text, bio-signals as well as not perceivable sources such as bio-information, stock prices, etc.
  Data Integration & Exploration on Data Lakes
  Dr A Freitas, Prof N Paton
Applications accepted all year round
Data Lakes are emerging as data management infrastructures for storing data in various schemata and structural forms.
  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.
  Machine Learning and Cognitive Modelling Applied to Video Games
  Dr K Chen
Applications accepted all year round
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.
  Machine Learning and Their Application to Vision and Language Understanding
  Dr T Mu
Applications accepted all year round
This project will be within the fields of machine learning, pattern recognition and artificial intelligence.
  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.
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