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We have 81 Mechatronics PhD Projects, Programmes & Scholarships for Self-funded Students
Mechatronics PhD Projects, Programmes & Scholarships for Self-funded Students
We have 81 Mechatronics PhD Projects, Programmes & Scholarships for Self-funded Students
Next-Generation Wind Turbulence Modelling with AI Integration (ReNU+24/EE/MCE/SHEN)
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
Developing Ontologies for Digital Engineering and Manufacturing PhD
Across manufacturing, data is growing in abundance, and creating numerous challenges as to how to make better decisions over time. Read more
Driving Sustainability: Myopic Mean Field Games and MARL for Incentive Mechanisms in Manufacturing Supply Chains PhD
Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical systems (eCPS). Read more
Model-based method in understanding patient-ventilator interaction
Mechanically ventilated respiratory failure patients risk experiencing desynchronisation with ventilator support. This desynchronisation is known as patient-ventilator asynchrony (PVA). Read more
Model predictive electric UAV guidance using wind measurements and forecasts for coverage path planning missions
Uncrewed aerial vehicles (UAVs) have significantly evolved in terms of efficiency and safety but some of their applications such as precision agriculture and package delivery have not progressed as fast as anticipated. Read more
Sensing technology for Net Zero – addressing the challenges of floating offshore electricity transmission
Offshore wind energy is central to UK’s ambition of transitioning to a sustainable future electricity grid. The growth in power generation from floating wind turbines is increasingly further away from shore and utilising the floating wind turbine support structures. Read more
Engineering micro-subs for micro-pollutants: biogeochemical sampling with micro-AUVs
Supervisory Team. Dr Adrian Nightingale, Dr Amber Annett and Prof Andrew Cundy. Autonomous underwater vehicles (AUVs) are playing an increasing role in studying our oceans. Read more
Engineering new handheld sediment profile imaging (SPI) systems to better understand the marine/terrestrial interface
Supervisory Team. Dr Adrian Nightingale and Dr Charlie Thompson. Sediments are fundamentally important natural environments: habitats for plants and animals, sinks for carbon sequestration, and natural flood protection buffers. Read more
Battery Health Monitoring using Next-Generation Optical Fibre Sensing for Safer, Smarter Energy Storage
Supervisory Team. Dr Chris Holmes and Prof Richard Wills. This project explores the cutting-edge intersection of battery technology and photonics, by proposing a new condition monitoring systems for electrical energy storage. Read more
Advanced Optical Fibre Design for Acoustic Emission Monitoring in Composite Materials
Supervisory Team. Dr Chris Holmes, Dr Peter Glynne-Jones. This project explores the cutting-edge intersection of acoustics and photonics, enhancing acoustic emission detection using innovative optical fibre designs. Read more
Optical Fibre Nervous Systems for Uncrewed Aerial Vehicles (UAVs)
Supervisory Team. Dr Chris Holmes, Bob Entwistle and Martynas Beresna. Read more
Hybrid Articulated Robotic Systems for Safe Human-Robot Collaboration
Research Group:
Intelligent Systems and Robotics
Articulated joints make up much of the conventional robotic systems, however, the rigidity of these systems despite artificially enhanced safety through algorithms remains a safety concern owing to critical algorithmic limitations and failures. Read more
Last chance to apply
Improving the design and implementation of spore traps
We’re looking for a student with a background in electronics engineering, mechatronics, software, or a related field. Experience in machine learning is desirable. Read more
Development of a robotic device for Anterior Cruciate Ligament (ACL) reconstruction surgery
Research Group:
Intelligent Systems and Robotics
Up to 25% of patients who undergo Anterior Cruciate Ligament (ACL) reconstruction surgery report unsatisfactory functional outcomes (Lord et al., 2019). Read more
Condition monitoring and non-destructive testing of dynamic cable for offshore renewable energy industry
Offshore wind energy is central to UK’s ambition of transitioning to a sustainable future electricity grid. The growth in power generation from floating wind turbines is increasingly further away from shore and utilising the floating wind turbine support structures. Read more