or
Continue with FacebookLooking to list your PhD opportunities? Log in here.
reliability PhD Projects, Programmes & Scholarships
We have 171 reliability PhD Projects, Programmes & Scholarships
Investigate integration and scalability of sand thermal storage with renewable energy systems (ReNU+24/EE/MCE/MARTIN)
The EPSRC Centre for Doctoral Training (CDT) in Renewable Energy Northeast Universities Plus (ReNU+)is a collaborative doctoral training programme run by the Universities of Northumbria, Newcastle and Durham. Read more
(Bicentenary) Post-burn scar grading using AI
Major burns can have lasting effects on quality of life, causing scarring, pain, affecting thermoregulation, outward appearance, and mental health. Read more
[FSE Bicentenary PhD] Holistic approach to modelling and simulation of whole electrical system
Due to the evident climate change and environmental pressures the future power/energy systems will have to operate, sooner rather than later, in a net-zero environment. Read more
Adaptive Inference and Segmentation for Functional Time Series
About the Project. The School of Mathematical Sciences of Queen Mary University of London invite applications for a the below project. Read more
Revolutionising Specialty Optical Fibre Fabrication with Machine Learning
Closing date. 31st December 2025. This PhD project invites you to transform specialty fibre fabrication through the application of machine learning. . Read more
Nanoporous silica memristor for next generation of neuromorphic computing and AI
Research Group:
Sustainable Electronic Technologies
This project will develop a novel memristor device using nanoporous materials for the new generation of time and power efficient neuromorphic computing and AI. Read more
Doctor of Engineering (EngD) - High-performance ultrashort pulse laser sources for advanced applications in sensing, imaging, and precise timing (Fraunhofer and University of Strathclyde)
Research Group:
CDT in Applied Photonics
Project Description. The Fraunhofer Centre for Applied Photonics (Fh-CAP) seeks for a post graduate student to fulfil an EngD research position in ultrafast solid-state laser technology. Read more
3D Heterogeneous Integration of 2D Electronic Materials for Neuromorphic Computing
This projects aims to develop two-dimensional (2D) materials, such as MoS2, which are atomically thin and offer a unique solution for neuromorphic computing hardware, in a 3D system where data processing and storage are unified within the artificial synapses and neurons to realize complex functions such as perception and learning. Read more
Securing Cyber-Physical Systems with Neural Network Components
Supervisory Team: Prof Ekaterina Komendantskaya, Dr Erisa Karafili . Project description: . Read more
Thermoelectric Energy Harvesting for wearables
Developing a new generation of Thermoelectric generators for powering wearable devices from body heat . Read more
Tackling the geotechnical challenges of floating offshore wind
Co-Supervisor. Professor Susan Gourvenec. Join the UK-wide Offshore Renewable Energy Supergen Hub project, and contribute to the geotechnical engineering of floating offshore wind. Read more
Reducing uncertainty in the effect of clouds on climate change
Background. Clouds are the cause of very substantial uncertainty in climate models and the reliability of climate projections. Read more
Artificial Intelligence-Enabled Free-Space Optics for Future Advanced Satellite Communications
Research Group:
Bradford-Renduchintala Centre for Space AI
Given their significant contribution to various aspects of modern life, satellite communications have become an essential part of our world today. Read more
Advanced Networking Techniques for Quantum Space-Aerial-Terrestrial Integrated Networks
Research Group:
Bradford-Renduchintala Centre for Space AI
In beyond 5G and 6G communication networks, the need for robust security systems is paramount to securely store and share vast amounts of data globally. Read more
Fusion of distributed and point acoustic sensing with physics-enhanced machine learning for remote monitoring of strategic energy assets
This project aims to leverage the advances in ultrasonic testing, including optical fibre-based distributed acoustic sensing and physics-enhanced machine learning, to increase the reliability of nuclear waste storage monitoring. . Read more