33 computational-physics "https:" "https:" "https:" "https:" "Dr" PhD scholarships at Cranfield University
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predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence (AI) models present a promising alternative by addressing
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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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, as well as our specialist industrial network. The Centre for Defence Engineering and Physical Science at Cranfield University is a world-leading centre for research, education and consultancy on a
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Duration: 3 years 1st Supervisor: Dr Abhijeet Ghadge 2nd Supervisor: Dr Nicky Yates This fully funded PhD studentship sponsored by Cranfield School of Management, offers a tax‑free bursary of up
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Energy storage and harvesting and Dr Lorenzo Conti , granular locomotion pioneer, will provide support across heat transfer modelling, computational simulation, microbial risk assessment and low-carbon
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and associated events, alongside the formation of a novel multi-physic digital twin to support future forensic identification of UAS fingerprint profiles. The main objectives are: 1. Identify, evaluate
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programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Dr Irene
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: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion
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programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Dr Heather
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-efficient research that prevents fatigue failures has pushed towards integrated computational materials engineering approaches that improve competitiveness. These approaches rely on physics-based models