The use of Artificial Intelligence/Machine Learning methods in process optimisation and control is one of the key strategies the formulation industry has adopted to reduce resource and energy wastage. However, the current state of the art relies on human intervention. To increase responsiveness to dynamically varying inputs and get the most value from these next-generation process models, it is necessary to move to direct process control (‘closing the loop’). Despite the significant published work in the field of machine learning for formulation unit operations, there is very little published on direct control. This is a challenging step, where new approaches to human/machine interfaces, control system integrity, and process safety will need to be developed. This project will seek to build a framework using hands-on implementation of direct control in a safe test-bed environment at Johnson Matthey’s research facilities, as part of Johnson Matthey Technology Centre’s Process Measurement and Control team. This will give the student the opportunity to develop skills in software and hardware development, process control, and to push the boundaries by exploring failure modes as well as successful operation. The successful candidate will work alongside other CDT students and experienced professionals at Johnson Matthey, catalysing the net zero transition. Funding notes: Tax-free bursary of £25,737 per annum plus fees paid. To be eligible for EPSRC funding, candidates must have at least a 2(1) in an Engineering or Scientific discipline or a 2(2) plus MSc. To apply, please email your CV to cft-formulation@contacts.bham.ac.uk. Open to UK nationals only due to funding restrictions. For details on the Engineering Doctorate scheme, visit the homepage. Apply online via the above ‘Apply’ button. £25,737. Tax-free bursary of £25,737 per annum plus fees paid.
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