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-based superalloys, oxide dispersion strengthened alloys and high-entropy alloys will all be investigated, for both their material performance and additive-manufacturability. The Exploration Company has
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phenomena. The project will contribute to numerical method development as well as new understanding of flow physics and will make use of high performance computing (HPC) and advanced computational fluid
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. You will benefit from: Access to high-performance computing resources: HPC Stanedge. A comprehensive suite of commercial and open-source software (e.g., Abaqus, Ansys, COMSOL, MATLAB, PyTorch, …). A
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ensure the smooth day-to-day operation of the programme. The post requires excellent organisational skills and a high level of attention to detail throughout the project cycle including administrative
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performance, BCI deficiency and countermeasures - Teaching the BCI skill: feedback and human training approaches - Brain/neuronal computer games interfaces and interaction - Using BCI for monitoring and
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Overview As a Research Assistant in intelligent robotics for manufacturing, you will support implementation of advanced control and learning methods to enable robots to perform complex manufacturing
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scope for improvements. This PhD project will focus on exploiting the power of additive manufacturing to deliver high performing functional materials to allow increases in performance of electrical
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Tailoring the Thermomechanical Properties of High Performance Aerospace & Automotive Composite Materials School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Dr
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validation of the simulation will be performed using data collected by the ATLAS experiment. The PhD will facilitate experience and knowledge opening up career routes into traditional academic roles in high
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and low power (yet high performance) RF circuits and hardware, spanning the entire field and spectrum of RF design. The purpose of this research project is to investigate present state-of-the-art