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We have 116 reliability PhD Projects, Programmes & Scholarships for UK Students
reliability PhD Projects, Programmes & Scholarships for UK Students
We have 116 reliability PhD Projects, Programmes & Scholarships for UK Students
Wind Turbine Reliability
University of Strathclyde
EPSRC Centre for Doctoral Training in Wind and Marine Energy Systems and Structures
PhD in the EPSRC Centre for Doctoral Training in Wind and Marine Energy Systems and Structures at the University of Strathclyde and the University of Edinburgh. Read more
A Reliability based Design Method for Offshore Wind Turbine Tower Foundations
Foundations for offshore wind turbine towers can be grouped into two types. (a) Grounded systems and (b) Floating systems. Read more
Characterizing how Misinformation Influences Decision-making: choice heuristics and neural correlates
Primary Supervisor: Dr Lucie Charles. Co-Supervisor(s): Dr Rani Moran. Funding: China Scholarship Council (CSC). Deadline: 29th January 2025. Read more
Low-Power AI-Driven Resource Management for Enhancing Satellite Communication Link Reliability
This studentship is offered by the Robotics and Artificial Intelligence for Net Zero Centre for Doctoral Training (RAINZ CDT) which is a partnership between three of the UKs leading universities (University of Manchester, University of Glasgow and University of Oxford). Read more
Silicon carbide power electronic devices: fabrication, optimisation, and reliability.
University of Warwick – School of Engineering and REWIRE "Innovation and Knowledge Centre (IKC)". Qualification. Doctor of Philosophy in Engineering (PhD). Read more
Developing surface solutions to prevent material embrittlement in hydrogen applications
Research Group:
School of Mechanical Engineering
PhD project, in collaboration with the AC2T in Austria, on the efficiency and reliability of lubricated materials in a hydrogen environment. Read more
Vibration isolation design for optimum machine reliability
In this project you will use modelling and experimental methods to build an understanding of how vibration and shock mount design can influence machine bearing life. . Read more
PhD Studentship in Computer Architecture for Modern Applications
In today's digital landscape, the exponential growth of data has become the driving force behind modern applications, such as machine learning applications and genome analysis, revolutionizing our approach to overall living quality and healthcare. Read more
Designing Innovative Thermal Batteries for Energy Storage: Biomimetic Solutions for a Sustainable Future
As the world transitions to cleaner energy, finding efficient ways to store and use renewable energy is critical for building a sustainable future. Read more
Reliable AI for Healthcare: Enhancing Large Language Model Transparency with Uncertainty Quantification
Research Group:
Computing
The rise of wearable technology has enabled unprecedented continuous data collection, opening new frontiers in health monitoring, activity recognition, and personalized medicine. Read more
AI-assisted robust aero-engine structural analysis due to fan blade-off
Supervisory Team: Dr. Jie Yuan, Dr. David Toal. Project description. Robust design is crucial to ensure the durability and reliability of aerospace components throughout their entire life cycle due to the variations arising from geometry, material properties and loads during the long-term operation. Read more
Nonlinear structural dynamics, numerical: Fully Funded EPSRC PhD Scholarship: Design and Fabrication of a MEMS sensor
This project will be conducted at Swansea University, utilising the world-class facilities of the MEMS Excellence Centre, which is renowned for its cutting-edge research in microelectromechanical systems. Read more
Scalable Safe & Robust Decision Making in Evolutionary Networked Cyber-Physical Systems
Emerging applications of Cyber-Physical Systems (CPS), such as multi-agent robotics, Internet-of-Things, autonomous driving, and smart manufacturing often involve a large number of hardware and software components that interact with each other in a coupled, time-sensitive, and context-varying operation environment. Read more
Uncertainty quantification and reliable feature extraction in deep learning
Supervisory Team - Srinandan Dasmahapatra and Antonia Marcu. Read more
System Identification and Uncertainty Quantification for Smart Robot Control (S3.5-ELE-Jones)
For robots to successfully handle complex tasks, they must be able to interact with and adapt to the ever changing real-world environments they operate in. Read more