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Information Science (electrical) PhD Projects, Programs & Scholarships

We have 48 Information Science (electrical) PhD Projects, Programs & Scholarships

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Showing 31 to 45 of 48
  Anomaly Detection and Characterisation with Few-Shot Machine Learning
  Dr M Yaghoobi, Dr T Hospedales
Application Deadline: 31 July 2020

Funding Type

PhD Type

This PhD Studentship is sponsored by Thales UK and EPSRC. The successful candidate will seek to solve the problems faced by applying sparse data learning techniques for detection and classification to domains with very limited labelled data.
  EPSRC Centre for Doctoral Training in Distributed Algorithms

Funding Type

PhD Type

60 funded PhD studentships will be available over the next 5 years for UK and EU students.
  2019 Strathclyde SEA FindAPhD advert: Measuring security of Industry 4.0 systems
  Dr D Thomas
Applications accepted all year round

Funding Type

PhD Type

Introduction. Industry 4.0 will lead to many more critical industrial systems being Internet-connected and interdependent. Measuring the security of these distributed systems of industrial devices is vital to understand the risk of compromise this poses and to assess potential defences.
  Distributed traffic control for connected and autonomous vehicles in mixed traffic environments
  Dr S Mihaita
Applications accepted all year round

Funding Type

PhD Type

In an era of rapid technological changes, connected, electric and autonomous vehicles (CAEVs) seem to be the perfect solution for dealing with challenging problems such as congestion, pollution and space optimisation in urban areas.
  High-Speed Millimetre Wave Wireless Communications
  Prof X Huang
Applications accepted all year round

Funding Type

PhD Type

Increasing demand for high speed wireless communications systems means that new signal processing algorithms and hardware implementations are necessary to meet low cost and high performance requirements.
  Research on Exoskeleton Control System based on Brain-Computer Interface
  Dr M Huang, Dr R Yang, Dr D Tate, Dr R Ferrero
Applications accepted all year round

Funding Type

PhD Type

To ensure the safe and reliable operation of exoskeleton, the control system based on brain-computer interface is the premise and foundation, which has been discussed in literature.
  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.
  Big data in energy
  Dr E Barbour
Application Deadline: 5 July 2020

Funding Type

PhD Type

With current energy systems generating ever-increasing amounts of data, there are new opportunities arising both in terms of economics and sustainability.
  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.
  Artificial Intelligence for Vision Based Navigation
  Dr Y Hua, Prof N Robertson
Applications accepted all year round

Funding Type

PhD Type

Queen’s University Belfast is a driver of innovation based on our talented, multinational workforce. Throughout the University, our academics are collaborating across disciplines to develop new discoveries and insights, working with outside agencies and institutions on projects of international significance.
  Intelligent Big Data Analytics for Manufacturing and Engineering Applications
  Research Group: Applied Computing
  Dr S Konur, Dr D Thakker, Prof F Campean, Mr E Munive Hernandez
Applications accepted all year round

Funding Type

PhD Type

Information processing using AI and machine learning is seen as a future growth direction to deal with increasingly large and complex data-sets.
  Security-Aware Safety Monitoring of IoT-enabled Smart Environment
  Research Group: Applied Computing
  Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Internet of Things (IoT) is a promising networking paradigm that integrates physical processes with the cyber world to provide useful services.
  Learning to See More: Better Bayesian Track Before Detect using Statistical Machine Learning (EPSRC CDT in Distributed Algorithms)
  Dr A Garcia-Fernandez, Prof V Alexandrov
Application Deadline: 31 May 2020

Funding Type

PhD Type

This studentship has been developed by the University of Liverpool and STFC’s Hartree Centre in partnership with Leonardo. This project is concerned with improving the ability to detect faint objects in, for example, radar data.
  A rigorous identification of all metastable polymorphs for better and safer drugs
  Dr V Kurlin, Dr A Pulido
Application Deadline: 12 April 2020

Funding Type

PhD Type

The aim is to develop new geometric methods for quantifying a similarity between crystal structures to substantially speed-up the Crystal Structure Prediction in Materials Science.
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