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We have 100 Control Systems PhD Projects, Programmes & Scholarships for Self-funded Students
Control Systems PhD Projects, Programmes & Scholarships for Self-funded Students
We have 100 Control Systems PhD Projects, Programmes & Scholarships for Self-funded Students
PhD in Mechanical Engineering - Modelling Flexible Nuclear Power Plant Integration in Future Low Carbon Energy Systems
The increasing penetration of intermittent renewable power within the UK energy network will require additional flexibility from conventional sources of generation, such as nuclear power plants. Read more
PhD in Mechanical Engineering - A Digital Twin-based approach for Nuclear Reactor Design and Prognosis
The design and lifecycle analysis of low carbon technologies, such as nuclear reactors, is vital to ensuring that nuclear technologies can support dynamic energy demand profiles and support verifiable decarbonization of energy services. Read more
PhD in Mechanical Engineering - Federated Digital Twins for Reducing Risk and Uncertainty in Hydrogen Integration.
The energy transition is a highly stochastic and complex problem, especially given the increasing demand to rapidly decarbonize through whole systems thinking – coupling previously independent critical infrastructure and services e.g., energy-transport networks etc. Read more
PhD in Mechanical Engineering - Federated Digital Twins for Resilience Modelling of Transport Infrastructure
This PhD will explore the emergent role of Cyber Physical Infrastructure (CPI) and Federated Networks of Digital Twins in the design and validation of decarbonization strategies and resilience analysis for future transport services and infrastructure. Read more
PhD in Mechanical Engineering - Social-Techno-Economic Analysis of Hydrogen Integration for the Energy Transition
The UK like many nations needs to radical reform its energy services as to support rapid decarbonization. The energy transition from decarbonization, net zero and towards sustainable solutions, must also be responsive to the needs of society, in terms of energy availability and affordability. Read more
Design and Development of a Mechatronics-Based Modular Mushroom Farming System
In the pursuit of sustainable and innovative agricultural practices, mushroom farming has emerged as a highly efficient and environmentally friendly method of food production. Read more
Research on advanced distributed control and stability analysis for cyber-physical microgrid systems
This project aims to develop advanced control methods and conduct stability analysis for cyber-physical MG systems, which aim to enhance system stability, compensate for time-delayed or attacked effects, and achieve multiple control objectives in MG systems. Read more
Model-based Virtual Patients for Mechanical Ventilation Treatment
In the rapidly evolving landscape of healthcare, there has been an emerging interest in providing personalised treatment in the intensive care (ICU) setting through the use of engineering model-based/ machine learning approaches. Read more
Causal AI for Proactive Self-healthcare
With the aid of novel digital technologies, self-healthcare has changed the current healthcare practice in several ways such as easy access, less communication burden to Health Centres and reduced workload of health carers [1]. Read more
Real-time optimisation control of batch processes
Batch processes are widely used in the pharmaceutical, specialty chemical, and food industry for the responsive agile manufacturing of high value added products. Read more
Dynamic modelling and fault tolerant control of multiphase motor drives
The research focus of this project is on the modelling and control of multiphase machines and drives. By multiphase, motors and drives with a phase number greater than three are intended. Read more
Advancing Net-Zero Manufacturing: Digital Twin-based Fault Diagnosis and Prognosis in Nonlinear Mechatronic Systems
In the context of the Industrial 4.0 revolution, the shift towards smart manufacturing is not only redefining how we approach industrial processes but also emphasizing the urgent need for sustainable practices to achieve Net-Zero goals. Read more
Human factors for digital transport operations
Transport control environments in rail, highways / cities and ports are now underpinned by a range of digital sensors, and an array of different inputs and outputs (eg CCTV, social media, direct feeds into in-vehicle control systems). Read more
PhD position in reinforcement learning and multi-agent reinforcement learning
The successful applicants will join the University of Edinburgh, Heriot-Watt University, and Leonardo Ltd, one of the UK's leading aerospace companies and one of the biggest suppliers of defence and security equipment to the UK. Read more
Robust Synchronisation of Large-scale Dynamic Networks
This project aims to address the problem of synchronisation in interconnected multi-agent networks under the influence of uncertainty and external disturbances. Read more