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Operational Research (processing) PhD Projects, Programs & Scholarships

We have 15 Operational Research (processing) PhD Projects, Programs & Scholarships

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  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.
  Smart Data Analytics for Climate/Weather workflows
  Dr J Kunkel, Prof B Lawrence
Applications accepted all year round

Funding Type

PhD Type

Efficient post-processing of climate and weather data is key for the data analysis. At the moment, scientists use toolkits from Python like Pangeo and command line tools like CDO.
  Developing a new learning algorithm for biologically inspired spiking neural networks
  Dr A Taherkhani, Prof TM McGinnity, Dr G Cosma
Applications accepted all year round

Funding Type

PhD Type

The brain’s processing ability to solve complex problems has inspired many researchers to investigate how the brain processes information, reasons and its learning mechanisms.
  BioVision: bio-inspired computer vision using deep architectures (Advert Reference: SF19/EE/CIS/BELATRECHE)
  Dr A Belatreche, Dr F Khelifi
Applications accepted all year round

Funding Type

PhD Type

The primate visual system outperforms the existing automated vision systems in almost all measures.
  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.
  Deep-learning for semantic-based information extraction from natural language
  Research Group: Computing, Informatics and Applications Research Group
  Dr A Fatima, Dr C Luca
Applications accepted all year round

Funding Type

PhD Type

Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Arooj Fatima ([email protected]).
  The dynamics of human attention in the online environment
  Dr M-A Rizoiu
Applications accepted all year round

Funding Type

PhD Type

Topic. This project will develop and evaluate stochastic models for the spread of information over complex social networks, in which the individual actions -- such as retweets, posts or shares -- are only partially observed.
  Ontological modelling for data analysis
  Research Group: Computing, Informatics and Applications Research Group
  Dr C Luca, Dr A Fatima
Applications accepted all year round

Funding Type

PhD Type

Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Cristina Luca ([email protected]).
  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.
  New solution methods for online process scheduling
  Dr J Li
Application Deadline: 30 September 2020

Funding Type

PhD Type

Scheduling is one of the significant managerial tools for the process industries.
  Contextualised Multimedia Information Retrieval via Representation Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

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.
  Multi-task Learning and Applications
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

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.
  Using Artificial Intelligence to study variations in gas turbine performance
  Research Group: Computational Engineering and Design
  Dr D Toal
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Dr. D.J.J. Toal. Co-supervisor Prof. A.J. Keane. Project description. Artificial Intelligence (AI) allows the rapid processing of images.
  PhD Studentship Opportunity in Uncertainty quantification in high-dimensional spaces with Bayesian deep learning
  Research Group: Nature Inspired Computing and Engineering
  Dr Y Li
Applications accepted all year round

Funding Type

PhD Type

The Nature Inspired Computing and Engineering (NICE) Research Group in the Department of Computer Science at the University of Surrey invites applications for a funded studentship in Machine Learning.
  Image classification based disease and pest detection in agriculture
  Dr S Chakraborty
Applications accepted all year round

Funding Type

PhD Type

Developing image clarification models using tools such as Google Tensorflow. The models need to be capable of identifying different diseases and insect infestations in specific crops such as cotton.
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