University of East Anglia Featured PhD Programmes
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reliability PhD Projects, Programs & Scholarships

We have 106 reliability PhD Projects, Programs & Scholarships

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  Establishing the reliability and validity of digital tools to collect patient generated data
  Dr J McBeth, Prof W Dixon
Applications accepted all year round

Funding Type

PhD Type

Background. The rise in consumer electronics ownership, such as smartphones and smartwatches, offers unique opportunities to collect granular subject-reported and passively collected research data via remote monitoring.
  Reliability analysis, fault diagnosis and optimization in dynamic small data environment using explainable AI
  Research Group: Applied Computing
  Dr Q Zhang
Applications accepted all year round

Funding Type

PhD Type

The smart system consists of the man-made machine and the intelligent decision making. Mostly, the machine will be designed with automation purpose and the decision making can be achieved based on big data training and AI technology.
  Reliability Modelling of Complex Autonomous Systems
  Research Group: Advanced Automotive Analytics Research Institute
  Prof F Campean, Prof D Neagu, Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Smart engineered systems that make decisions and take actions autonomously are becoming commonplace in many applications, such as self-driving cars and drones.
  Advanced design of fibre reinforced composites - using multiscale reliability analysis and optimisation
  Dr P Dunning, Dr S Sriramula
Applications accepted all year round

Funding Type

PhD Type

This project aims to advance the design of components made from fibre reinforced composite materials, by combining techniques in multiscale analysis, structural reliability and design optimisation.
  Reliability of pipelines under spatially varying corrosion defects
  Dr S Sriramula, Dr H Tan
Applications accepted all year round

Funding Type

PhD Type

The integrity of pipelines is greatly affected by the initiation and progression of corrosion defects. It has been widely recognised that random variations in these characteristics can be rationally quantified with probabilistic approaches.
  Stochastic response characterisation and reliability driven optimisation of floating wind turbines
  Dr S Sriramula, Dr A Maheri
Applications accepted all year round

Funding Type

PhD Type

As the wind turbine installations move to deep-water environments, there is an increasing focus on the design considerations for floating wind turbines (FWTs).
  Safety and Optimisation of Autonomous Vehicles
  Research Group: Mechanical and Process Engineering
  Dr JP Li
Applications accepted all year round

Funding Type

PhD Type

It is increasingly clear that a structured approach using artificial intelligence (AI) components operating within a framework of conventional logic will deliver autonomous vehicles (AVs), which have the potential to benefit the world by increasing traffic efficiency, reducing pollution and eliminating up to 90% of traffic accidents.
  Enhancing the performance, condition, safety and reliability of offshore wind energy infrastructure systems using optimal design, inspections, structural health monitoring and structural control
  Dr P Omenzetter, Dr P Dunning, Dr S S Aphale
Applications accepted all year round

Funding Type

PhD Type

Wind turbines are exposed to frequent structural damage increasing the cost of wind energy generation. To drive these costs down, this project will develop new automated methods for detection of structural damage to wind turbines by examining vibration responses measured by sensors attached to the structure.
  Guaranteeing Reliability for IoT Edge Computing Systems
  Dr V Pavlidis
Applications accepted all year round

Funding Type

PhD Type

pical IoT Edge devices collect data from several sensors and may also control several actuators depending on the target application.
  Evaluation of Variations in Clinical Staff Performance using Reliability Engineering and Computer Vision (ENG1322)
  Dr R Remenyte-Prescott
Application Deadline: 25 May 2020

Funding Type

PhD Type

To develop methods to determine the causes of variations in clinical staff performance and mitigate their impact on healthcare safety and efficiency.
  Machine learning for human reliability and interaction with intelligent systems
  Prof E Patelli
Application Deadline: 26 September 2020

Funding Type

PhD Type

The present research proposes to develop an innovative approach to construct an calibrate a model for calculating the human error probability using data extracted from existing major accident investigation reports.
  Fully-Funded PhD Position in High Mobility Wireless Communications
  Dr A Farhang
Application Deadline: 29 May 2020

Funding Type

PhD Type

The emergence of a diverse set of services and applications in networks of the future set out many challenging requirements, including low latency and high reliability of the wireless links.
  Edge Intelligence for Safety Assurance of Time Critical Cyber Physical Systems
  Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Cyber-Physical-Systems (CPS) harbor the potential for vast economic and societal impact in domains such as mobility, home automation, energy, agriculture, and delivery of health.
  Intelligent Computational Methods for Advanced Composites
  Dr Z Sharif Khodaei, Prof M.H. Aliabadi
Applications accepted all year round

Funding Type

PhD Type

The structural integrity group in the Aeronautics department (http://www.imperial.ac.uk/structural-integrity-health-monitoring/) is dedicated to improving integrity of engineering components and structures used in aerospace and other safety-critical industries.
  Development and validation of an observational measure of children’s conversational skills: application to children who have Social (Pragmatic) Communication Disorder or High-functioning autism spectrum disorder
  Dr C Adams, Dr J Freed
Applications accepted all year round

Funding Type

PhD Type

Social communication impairments in school-aged children are a fundamental feature of Autism Spectrum Disorders (ASD) and are prominent in a type of language disorder called Social (Pragmatic) Communication Disorder (SPCD).
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