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Information Science (computational engineering) PhD Projects, Programs & Scholarships

We have 35 Information Science (computational engineering) PhD Projects, Programs & Scholarships

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  Intelligent human-machine interaction for engineering design
  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 and Machine Learning for Efficient Collaborative Design
  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. Modern high value engineering design activities can involve collaboration between many engineers across many departments and perhaps even different countries around the world.
  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.
  Efficient Topological Decision Making
  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. Engineering design essentially involves making decisions with respect to the geometry of a component.
  Embedding Uncertainty In CAD
  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. No mechanical component is ever as the designer intended either after manufacture or after time in service.
  Application and development of machine learning approaches for automated analysis of Paediatric Brain Tumours
  Dr M Gairing, Prof A Jones
Application Deadline: 12 April 2020

Funding Type

PhD Type

There is significant interest in the use of image processing techniques and machine learning to improve automation and facilitate clinical decision making.
  Automated Big data analysis
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

This project will focus on the task of automating data analysis tasks, particularly for numerical data but the techniques developed could be applied to other domains such as textual data analysis.
  Autonomous learning with Artificial Intelligence
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The ability to learn the sensorimotor maps of unknown environments without supervision is a vital capability of any autonomous agent, be it biological or artificial.
  EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems

Funding Type

PhD Type

We are looking for people who are committed to changing the world via world-class research that focuses on amplifying human capabilities through the use of data-driven and intelligence enabled systems.
  Analytic methods for detecting and making sense of somatic genomic rearrangements
  Prof A Papenfuss
Applications accepted all year round

Funding Type

PhD Type

Bioinformatics is the application of mathematics, statistics and computational methods to the analysis of molecular biology data.
  Design of Experiments for Network Science
  Dr B Parker
Applications accepted all year round

Funding Type

PhD Type

Design of Experiments (DOE) is a research area within statistics that allows scientists to maximise the amount of information derived from an experiment.
  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.
  Design of propeller and propeller-energy efficiency devices for realistic ship operations
  Prof D Hudson
Application Deadline: 9 August 2020

Funding Type

PhD Type

Supervisor. Dominic Hudson, Joe Banks, Dominic Taunton (Maritime Engineering). Project description. International shipping contributes ~ 3.1% of global GHG emissions, which without change may increase to 18% by 2050.
  Machine learning of multi-omics data for better diagnosis and treatment of complex human disorders
  Dr D Wang, Dr M Alvarez
Application Deadline: 1 May 2020

Funding Type

PhD Type

We welcome applications for a PhD studentship available at the Dept of Computer Science, University of Sheffield in collaboration with the Sheffield Institute for Translational Neuroscience and the A*STAR Singapore Institute for Clinical Sciences.
  Machine learning of multi-omics data for better diagnosis and treatment of complex human disorders.
  Dr D Wang, Dr M Alvarez
Application Deadline: 1 May 2020

Funding Type

PhD Type

We welcome applications for a PhD studentship available at the Dept of Computer Science, University of Sheffield in collaboration with the Sheffield Institute for Translational Neuroscience and the A*STAR Singapore Institute for Clinical Sciences.
  Development of optimal lighting system to improve crop productivity
  Dr M Foo
Application Deadline: 29 May 2020

Funding Type

PhD Type

Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship for doctoral projects that support Global Challenges (GCRF) and UN Sustainable Development Goals.
  Overcoming the penetration depth limitations of optical coherence tomography in clinical dentistry using full electromagnetic wave computer models
  Dr P H Tomlins, Dr R Donnan
Applications accepted all year round

Funding Type

PhD Type

Background. In healthcare, imaging is one of the most important diagnostic tools available. Deep tissue imaging is usually achieved using either ionising X-Ray radiation, MRI which is expensive or ultrasound, which has low resolution.
  Autonomous 5G Networks
  Prof J Cosmas
Applications accepted all year round

Funding Type

PhD Type

5G Networks are expected to support many use cases ranging from autonomous vehicles, e-health, industry 4.0, entertainment, transport, smart cities etc.
  PhD Scholarship in Cognitive Science and Artificial Intelligence
  Prof P Cheng
Application Deadline: 11 May 2020

Funding Type

PhD Type

Applications are invited for a funded full-time three year PhD in Artificial Intelligence or Cognitive Science (stipend and fees).
  Deep learning for image colour transfer (GONGH2U20SF)
  Dr H Gong, Prof G Finlayson
Application Deadline: 31 May 2020

Funding Type

PhD Type

Colours may vary from image to image. This may be caused by different capture conditions (e.g. illumination, camera), seasons, object reflectances, and post-processing.
  Scalable Big Data Systems on Modern Hardware
  Dr S Ray
Applications accepted all year round

Funding Type

PhD Type

Project objectives. Data systems are going through a major transition due to the challenges of Big Data processing. The volume and velocity of data generated from a variety of sources are far outpacing the available storage and processing capacity.
  A new approach to modelling complex human/robot movement dynamics using techniques from machine learning
  Prof X Hong, Prof W Harwin, Prof R Mitchell
Applications accepted all year round

Funding Type

PhD Type

Advances in sensing and communications have made it easy to obtain large sets of measurements about an entity, activity or event.
  A Neural Fuzzy Fusion Engine for Human-Machine Autonomous Systems
  Dr YK Wang
Applications accepted all year round

Funding Type

PhD Type

Abstract. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS).
  Image segmentation
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

Image segmentation has many applications in biomedical and many other fields. It is essential for target detection and identification.
  Unbiased Estimation for Inverse Problems
  Dr A Jasra
Applications accepted all year round

Funding Type

PhD Type

This project concerns the development of Markov chain Monte Carlo and sequential Monte Carlo methods for unbiased estimation in Bayesian inverse problems.
  Zero Shot Cyber Event Detection (Application Ref: SF19/EE/CIS/YANG)
  Dr L Yang, Dr B Issac
Applications accepted all year round

Funding Type

PhD Type

Adverse cyber events, either distributed/spreading attacks or targeted one-off attacks, are happening all the time in the cyber space, leading to a tremendous loss economically and socially.
  Self-Supervised Learning and Variational Inference for adaptation in Deep Learning
  Dr G Leontidis
Application Deadline: 1 June 2020

Funding Type

PhD Type

We are looking for a highly motivated prospective PhD student to undergo a 3-year fully funded PhD project on Machine/Deep Learning foundations/theory and applications within the Department of Computing Science at the University of Aberdeen (UoA).
  Adaptive Service Composition Techniques and Algorithms for Internet of Things (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

Service composition is a collection of services where, many smaller services are combined together to a larger service. Service composition is the problem of aggregating services in such a way that given (functional and not functional) requirements are satisfied.
  Personal Data Store, Smart Cities Data Marketplaces, and Sensing as a Service for Internet of Things (Self-Funded Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

The Internet of Things envisions the creation of an environment where everyday objects (e.g., microwaves, fridges, cars, coffee machines) are connected to the Internet and make users’ lives more productive, efficient, and convenient.
  Semantic Web Technologies and Linked Data for Internet of Things (Self-Funded Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

The ultimate goal of Semantic Web is to make the machine to understand the Internet data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework) and OWL(Web Ontology Language).
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