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, technology, engineering, the arts, and mathematics) or an equivalent international qualification or closely aligned discipline. Ideally, applicants should have suitable organisational experience. All cases
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degree within any S.T.E.A.M field (science, technology, engineering, the arts, and mathematics) or an equivalent international qualification or closely aligned discipline. Ideally, applicants should have
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with engineering, physics, mathematics, acoustics, fluids, electronics or instrumentation background. Prior experience in computational modelling is beneficial, but not mandatory. Similarly, experience
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manufacturing (year 1) - Advanced Composites manufacturing using energy absorbing fibres and nanomaterials (year 1) - Analytical/mathematical modelling and FEA modelling of hyper-velocity impact test of
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field (science, technology, engineering, the arts, and mathematics) or an equivalent international qualification or closely aligned discipline. Ideally, applicants should have suitable organisational
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of big data might not be possible to be captured by traditional modelling approaches. This implies that mathematical modelling of such data is infeasible. The data-driven modelling approach could resolve