This is a self funded PhD studentship opportunity which combines the fields of chemical engineering and artificial intelligence. This research project will investigate cutting-edge machine learning and develop Artificial Intelligence for application in chemical process prediction and reactor control automation.<br>One of the key challenges to be solved in this exciting project is that the current techniques for process control lack the ability to handle dynamic situations whereby process conditions can change in a seemingly random way to specific changes in operation.Through Big Data and Artificial Intelligence (AI), it is possible to overcome this limitation and with world-leading research, AI may offer improved process control over traditional control loops. This innovative project aims to make strides towards finding novel solutions to this real world problem by investigating machine and deep learning algorithms on a scaled chemical reactor with inputs that can be gradually incorporated and adjusted to increase the complexity of the system.<br>This pioneering research project will investigate innovative machine learning techniques, supported by a world class research group, to design and study AI for enhancing advanced reactor control systems. The results of the project will be validated experimentally and by modelling. The research will involve the student generating the state-of-the-art AI programmes for reaction prediction and process control that are optimised, environmentally conscious, low cost, and high performing.<br>The research will be student driven and as such there is scope to broaden and deepen the scope of these objectives based on new information that comes to light during the course of the research.