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Energy (intelligent) PhD Projects, Programs & Scholarships

We have 12 Energy (intelligent) PhD Projects, Programs & Scholarships

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  Intelligent Health Monitoring and Distributed Decision Support
  Prof V Kadirkamananthan
Applications accepted all year round

Funding Type

PhD Type

Management of complex systems requires analysis and fusion of a diverse type and quantities of data and models of subsystems to provide inference on the state of health and decisions on maintenance actions that need to be taken.
  Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments
  Prof L Mihaylova
Applications accepted all year round

Funding Type

PhD Type

This PhD research is focused on multi-sensor data fusion for decision making. The project aims at dealing with large volumes of data and high dimensional systems.
  PhD Studentship (Sponsored by Lloyds Register Foundation) - Development of methods to evaluate dynamic fracture toughness of metallic materials at very high loading rates under conditions of limited plastic deformation
  Dr Y Janin, Ms S Walker
Applications accepted all year round

Funding Type

PhD Type

Background. Many important industrial applications require that dynamic fracture toughness of materials is quantified and the accuracy of safety assessments depends on this material property.
  Hierarchically designed piezoelectric energy harvesting materials for application in flexible systems
  Dr H Khanbareh, Prof C R Bowen
Application Deadline: 14 June 2019

Funding Type

PhD Type

High-strain environment of automotive tyres provides deformation energy that can be harvested using piezoelectric materials for powering wireless sensors, thereby reducing their reliance on batteries which will simplify sensor maintenance and management, and thereby improve safety and reduce waste associated with disposable batteries.
  Development of a Model Based Systems Engineering Framework / Ecosystem to Support “Resilience Engineering” for Complex Automotive Systems
  Research Group: Automotive Research Centre‌
  Prof F Campean
Applications accepted all year round

Funding Type

PhD Type

The design paradigm for automotive systems faces significant challenges from the evolution towards the vision of the future car as a mobile smart device that is substantively defined by its symbiotic interaction and integration with its environment, supporting increased levels of autonomy as well as user-centric service innovation.
  Adaptive Learning in brain-robot interactions
  Dr M Arvaneh
Applications accepted all year round

Funding Type

PhD Type

This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals.
  Cooperative Behaviour of Autonomous Unmanned Vehicles
  Prof S Veres
Applications accepted all year round

Funding Type

PhD Type

When a group of autonomous vehicles are on a mission to explore an unknown area and they cannot be remotely controlled, they need to collaborate with each other on gathering the maximum amount of information.
  Multimodal Control of Prosthetic Limbs/Paralysed Muscles
  Dr M Arvaneh
Applications accepted all year round

Funding Type

PhD Type

This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs.
  Multi-Sensor Data Fusion and Smart Decision Making
  Prof L Mihaylova
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to develop scalable models and algorithms for fusion of big data in complex systems. The project will focus on problems from smart cities –such as traffic modelling, mobility prediction and control.
  Robotic and Cyber-Physical Materials
  Dr S Pope
Applications accepted all year round

Funding Type

PhD Type

Robotic or Cyber-Physical materials use embedded sensing, actuation and control to realise novel and improved performance over conventional or passive materials [1].
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