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, the development of automated security systems is essential for timely detection and response to threats. Such systems are critical to safeguarding sensitive data, critical infrastructure, and privacy, making
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have a strong foundation in artificial intelligence, machine learning, and multi-agent systems, along with experience in programming, data analysis, and model development. Knowledge of interdisciplinary
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for global industries, all while collaborating with experts in the prestigious International Systems Realisation Partnership. Furthermore, the student will gain invaluable skills in data analysis, problem
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propulsion systems. You’ll join the wider CDT multidisciplinary cohort that values equity, diversity, and inclusion, while gaining expertise in aero-engine aerodynamics, analysis of advanced experimental data
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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for this research studentship, please complete the online application form. For further information contact us today: T: +44 (0)1234 758540 E: study@cranfield.ac.uk
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their problem-solving, data analysis, and critical thinking abilities, as they work on real-world aerodynamic challenges. In addition, the student will refine their communication skills by presenting research
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instrumentation for acoustic flow measurements, sensitivity to intake operating conditions and the exploration of data analysis methods to improve the overall measurement system accuracy. It will also include
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is vital to defending assets from uncooperative drones, where the research will focus on inverse learning and radar data processing. Drones are changing in shape, design, algorithms, and operation
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the science, engineering and management of water in the municipal, industrial and natural environments. The RHS will contribute throughout the project by providing data, knowledge and the staff’s expertise in