195 computational-physics-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at University of Sheffield
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professional reasons in an academic environment. The course is roll-on/roll-off with students staying for a minimum of two weeks. It runs separately from our large pre-sessional programme. Duties also include
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Vision solutions to showcase potential process improvements to manufacturing companies. You will work alongside other Engineers to deliver research that has real-world benefits. You will be a student
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/ preparation of project and programme budgets, in collaboration with Research Engineers to ensure they are not exceeded and spent on relevant project items. Detailed management, control and reporting throughout
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organise and deliver an annual programme of staff engagement events Build strong relationships with stakeholders across the University to plan, coordinate and develop communications and projects Provide
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computational implementation and validation against experimental observations. The PhD offers in-depth training in multiphysics modelling, computational mechanics, and high-temperature material behaviour
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. • Experience in numerical modelling/materials. • Strong mathematics, physics, and computer programming skills. If English is not your first language, you may be required to provide evidence of English language
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to access a wide range of opportunities and events. It also plays a key role in our reporting, helping to drive data-driven decision-making across our programme of engagement and fundraising activities. You
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power grids against geomagnetic disturbances and radiation hazards. While data-driven models have gained prominence, balancing high-fidelity predictive accuracy with physical interpretability remains a
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failure is characterized by different damage modes such as fibre kinking, fibre rupture, matrix cracking or delamination, which makes challenging to calculate an exact prediction of the failure process
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline