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researchers in Computational Fluid Dynamics, to join our team working on renewables and low carbon technologies. About the Role You will be working with international partners to develop a decentralised waste
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skills. The student will have training for laser Doppler anemometry (LDA) and computational fluid dynamics (CFD). The student will have placements at industry (Emissions Analytics) and academia
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Due to unique properties of supercritical CO2 (sCO2), power generation systems using sCO2 as working fluid have many advantages over their counterparts, such as gas turbines and steam turbine power
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Resilience (WIRe) , a prestigious collaboration between Cranfield University, the University of Sheffield, and Newcastle University. The WIRe programme offers bespoke training that hones both technical and
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accuracy is still limited. In contrast, computational fluid dynamics (CFD) models can capture the arc physics and molten pool dynamics, including arc energy transfer and liquid metal convection within
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and nanomaterials at the Composites and Advanced Materials Centre (Dr Sameer Rahatekar, Prof Krzysztof Koziol) and Hyper-velocity impact testing facilities at Centre for Defence Engineering and Physical
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Stonewall University Champions Programme. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued
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Methods (ANM) Group specialises in cutting-edge research and consulting services focused on pioneering methods for computational fluid dynamics (CFD). Through a diverse mix of research council and industry
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provides a dynamic and applied research environment, ideal for students seeking to pursue careers in food safety, public health, or analytical sciences. In addition to gaining deep domain knowledge in food
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel