This PhD project at the University of Southampton, supervised by Professor Bing Chu and Professor Paolo Rapisarda, focuses on advancing iterative learning control (ILC) methodologies by removing the reliance on analytical models. Analytical models are often expensive or impractical to obtain, and this research aims to develop model-free approaches to ILC, which could have significant implications for automation, robotics, and control systems engineering. The project is ideal for candidates interested in control theory, robotics, and engineering applications where traditional modeling is challenging. The supervisory team brings expertise in control systems and iterative learning, providing a strong foundation for research and development in this area. The position description does not specify funding details or entry requirements, so interested applicants should consult the university's official PhD admissions page for further information. The application deadline is not provided.

This PhD project at the University of Southampton focuses on the development of learning-based control systems for additive layer manufacturing, commonly known as 3D printing, within the field of electrical engineering. Supervised by Professor Bing Chu and Dr. Thomas Andritsch, the research aims to advance intelligent automation and process optimization in manufacturing technologies. The project will likely involve the integration of machine learning techniques with control systems to improve the efficiency, precision, and adaptability of 3D printing processes. Students will have the opportunity to work in a multidisciplinary environment, combining expertise in electrical engineering, automation, and computer science. The position is ideal for candidates interested in cutting-edge manufacturing technologies and intelligent systems. Details regarding funding, eligibility requirements, and application procedures are not provided in the current description.