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the actuator. This involves understanding the physics of the motor, the load it is handling, and the role of the servo-controller in the system. The focus is on managing different fault scenarios efficiently
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modelling metallic materials with physics-based models. You will be part of a multidisciplinary team, interacting with various researchers and working with a range of modelling techniques and experiments. You
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transformation. As the amount of data increases, it is necessary to store, standardise, process, and make data accessible in a way that gets beyond the quirks of different teams and technology. This requires
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for multi-sensor systems within mobile platforms or cyber-physical systems and have experience of management research using both qualitative and quantitative methods. With excellent communication skills, you
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), through the development and application of a digitalized Health Management Architecture – Platform for aircraft (machine learning based algorithms could be employed to process the data provided by
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mechanics and the broad area of modelling metallic materials with physics-based models. You will be part of a multidisciplinary team, interacting with various researchers and working with a range of modelling
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to monitor online the manufacturing process and development of damage in the material and the incorporation of heating and cooling. The Composites and Advanced Materials Centre at Cranfield has recently
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A fully funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems at Cranfield University. This is a great opportunity to work closely with Thales UK, who are a leading
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An exciting PhD studentship opportunity fully-funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership (DTP). This project would suit students with a
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for this position has a BSc and MSc in environmental sciences, physical geography or biology, knowledge of metagenomic analyses, and a passion for the natural environment. This fully funded studentship is part of