368 postdoc-parallel-computing positions at University of Sheffield in United Kingdom
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the prediction of failure on modern composite structures. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities
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help you to develop a combination of research skills for analysis and prediction of failure on modern composite aircraft. This research will benefit from excellent computing facilities, expertise in
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, predictive modelling and simulation will be carried out to assess delamination in cross-ply carbon fiber epoxy laminates. This research will benefit from excellent computing facilities, expertise in computer
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parameter selection and process optimisation. Previous experience / requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Please contact Dr Hassan Ghadbeigi
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/ requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Please contact Dr Hassan Ghadbeigi (h.ghadbeigi@sheffield.ac.uk) for more details. Funding Notes This project
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parameter selection and process optimisation. Previous experience / requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Funding Notes Please note that this
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Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications accepted all year round Details This PhD research...
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complexity, classical control techniques cannot be easily applied because of computational bottlenecks or an absence of suitable prediction models. Distributed control approaches have been conceived to handle
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forces reactors to operate significantly below their theoretical limits. By developing computational models that go beyond current limitations, you will contribute to unlocking the safe operation of
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space systems. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including flight simulator