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We have 99 Control Systems PhD Projects, Programmes & Scholarships for Self-funded Students
Control Systems PhD Projects, Programmes & Scholarships for Self-funded Students
We have 99 Control Systems PhD Projects, Programmes & Scholarships for Self-funded Students
Nonlinear System Analysis Using Convex Optimization
The foundations of dynamical systems theory can be traced back to Isaac Newton. Newton was the first to model the motion of physical systems as differential equations. Read more
Nonlinear Distributed Control
Networked systems are ubiquitous in the modern world, for example, smart grids, financial systems, and industrial processes are prime examples of these. Read more
Machine Learning for Energy System Analytics
We are recruiting highly self-motivated PhD candidates in the fields of machine learning, energy systems modelling and optimisation, and renewable energy integration. Read more
Design of net zero strategies and best practices for manufacturing and service organisations (research and experimentation in complex scenarios with competing priorities) PhD
Applications are invited for doctoral level research into sustainable manufacturing operations and management. More specifically, the candidate will undertake research activities into eco-design, eco-efficiency and eco-effectiveness in manufacturing and service organisations in support of Sustainable Development Goals. Read more
Pre-emptive strategies for achieving positive restoration of supply networks PhD
This interdisciplinary PhD research, conducted at Cranfield University, with focus on developing pre-emptive strategies informed by advanced predictive analytics to enhance the resilience of highly networked dynamic systems. Read more
Develop high-accuracy prediction models with small datasets and uncertainty of one-sided information in the free-market system PhD
This PhD project offers a unique opportunity to delve into the complexities of free-market systems and sustainability through a novel ensemble prediction model. Read more
Quality Assurance Framework for Digital Twins across Product Lifecycle PhD
The student will spearhead a pioneering project focusing on crafting a Quality Assurance Framework for Digital Twins throughout the Product Lifecycle. 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
Advancing Sustainable Manufacturing through AI-supported Design for Dynamic Management PhD
Embarking on a pioneering journey, this project delves into enhancing real-time decision-making in evolving cyber-physical systems (eCPS), crucial in today's modern manufacturing landscape. Read more
Shadow Sense – Visual foundation model for capability enhancement PhD
Cranfield University and the Centre for Digital Engineering and Manufacturing are seeking a top class candidate to undertake research leading to a PhD award. Read more
New processes to enable X in the loop simulations for the reduction of vehicle prototypes
X in the loop (XiL) methods are an approach of system simulation whereby part of the system is physical hardware, operating on a test bench and the other part is a simulation running on a computer. Read more
Rapid internal heating of Lithium-ion batteries
This PhD will explore methods of rapidly heating battery cells to operational temperature, including theoretical analysis and a strong element of experimentation. Read more
Enhanced Sensorless Control of Permanent Magnet Synchronous Motors
Permanent magnet synchronous motor (PMSM), a popular type of permanent magnet AC motor, is widely used in the AC drive applications, including electric propulsion, robots, traction systems, etc. Read more
Terrestrial Robotic Solutions for High-Resolution Environmental Monitoring
Rising climate challenges, including increased flooding and wildfires, underscore the urgent need for precise and high-resolution environmental monitoring. Read more