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We have 37 distributed generation PhD Projects, Programmes & Scholarships
distributed generation PhD Projects, Programmes & Scholarships
We have 37 distributed generation PhD Projects, Programmes & Scholarships
Smart Grid Efficiency: Integrating AI and Automation
Smart Grid is the emerging next-generation power grid concept that uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. Read more
The Science of Self-Organizing Swarms for Distributed Edge Infrastructure
The next generation of intelligent cyber-physical and IoT systems powered by AI are becoming an essential part of our environment. Read more
AI-Grid: Converter-based renewable generation and AI-enabled network control for operation stability of cyber-physical power grid - C3.5-ELE-Zhang
Power grid is increasingly penetrated by renewable and distributed energy resources, aiming to achieve the net-zero emissions by 2050. Read more
Methods and tools for the verification of plug-and-produce robots in distributed manufacturing systems
Research Group:
Applied Computing
The competitiveness of manufacturing companies in modern markets increasingly depends on cost-effective flexible automation technologies. 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
Artificial Intelligence enabled Distributed Edge-Centric Cellular Networks
Research Group:
Communication Technologies
Today, wireless cellular networks rely heavily on the core network to deliver services. This introduces latency and other inefficiencies. Next generation networks will be much more edge centric, enabling ultra-reliable low latency (URLLC) services to be delivered. This requires a fundamental rethink in how edge-centric cellular networks should be delivered. Read more
AI-driven Cloud-to-Things application-level orchestration framework for next-generation Internet of Things systems
The next generation of Internet-of-Things (IoT) systems is becoming an essential part of our day-to-day environment. Read more
Development of Fibre-Enabled, Distributed Gas Sensing for Environmental and Industrial Monitoring
Supervisory Team: Dr Natalie Wheeler, Prof Radan Slavík, Dr Martynas Beresna. Project Description. We are looking for a new PhD student to join our growing team, working on the design and development of next generation optical fibres to enable novel distributed gas sensing networks. Read more
Hybrid Wind and Photovoltaic Power Generation with Energy Storage
This project will investigate advanced strategies for the design, integration and optimization of hybrid wind/photovoltaic/battery systems for distributed power generation. Read more
Artificial Intelligence-based Optimisation of Next Generation Aircraft Electrical Power Systems - S3.5-ELE-Odavic
Aircraft electrical power systems (AEPSs) are undergoing significant changes to meet the demands of increasing electrical loads. Progress is driven by ambitious targets in the reduction of fuel burn (of 40%) and emissions (of 80%) set by the US Federal Aviation Administration and the European Commission for 2020+. Read more
Architecture for decentralising intelligence in dynamic cloud-fog-edge compute continuum
AI-enabled IoT systems are becoming an essential and integral part of our daily lives. For example, systems like e-health, smart homes, and smart manufacturing have already demonstrated a huge impact. Read more
Modelling of buoyancy control for new generation aircraft
Aircraft research is in a state of transition, with a much broader range of possible new aircraft technologies under investigation than ever before. Read more
CR2025_48: The mystery of widespread endemics: why do some species spread while others don’t?
The Mediterranean is one of the world’s biodiversity hotspots and has a high degree of endemism. This hyperdiversity has led to much conservation attention being lavished on rare, narrowly distributed species. Read more
One Crop Health PhD Programme - Using environmental DNA to assess soil health bioindicators and their relationship to crop nutrition and production under different agricultural regimes
Background . Soil degradation and erosion is a worldwide problem. Intensive agriculture has depleted carbon and aggregates, causing drainage issues, flooding and nutrient loss, and, therefore, poor crop production. Read more
One Crop Health PhD Programme - Towards a mechanistic understanding of disease suppressive soils
Current agricultural systems are unsustainable. Crop diseases cause estimated yield losses of 20-40% annually. Disease is likely to increase with climate change and loss of agrochemicals, hence alternative methods of crop protection are essential. Read more