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/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
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Development of a Lattice-Boltzmann based model for the deposition process in chemically reacting flows School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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Development of a novel material model for machining prediction School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Hassan Ghadbeigi Application Deadline
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Integration of renewables into energy systems-forecasting model development and analysis School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed
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Development of biofidelic test-beds for assessing human interactions School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof M Carre, Prof R Lewis, Dr J Rongong
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adapted based on the abilities and needs of patients. Moreover, automatic intelligent algorithms will be developed in to make the control intuitive, natural and adaptive. Such that the model can learn new
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Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method
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in handling stall onset and recovery. This project will focus on the modelling and control of hysteresis effects, under the framework of numerical optimal control. The aim is to develop advanced
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to improve service provision, simplify processes and support product development. The Lead Solution Architect role will lead, inspire and develop a growing team of solution architects engaged in our most
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Overview We are looking for a motivated and enthusiastic individual to deliver high quality market insight activity within student recruitment and marketing and provide support in the development