569 systems-science-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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Collaborative Systems research team in the School of Engineering at the University of Birmingham, working within a world-leading robotics environment with access to state-of-the-art robotic platforms, sensing
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), accounting for dynamic aeroelastic stability at the early design stage has become essential. However, considering flutter constraints in high-fidelity aerostructural optimisation routines is challenging
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This 3.5-year PhD project is fully funded by industry, and home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for
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-world engineering systems Experience working with high-fidelity simulation and real engineering data Opportunities to publish in leading journals and present at top international conferences Excellent
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the professional, ethical, organisational and work-related challenges surrounding the adoption of AI technology for human selection and evaluation. The research is expected to adopt an interpretivist, social
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scientific communities. It is a rare opportunity for you to lead a project by working with multiple world-leading central facilities. The developed technique will be used to investigate water transport within
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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undergraduate degree in chemistry (2:1 or First Class) is required. We welcome applications from all suitably qualified candidates and particularly encourage applications from under-represented groups
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electrical engineering and data science. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: This role offers an exceptional opportunity for a
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. Cranfield is an exclusively postgraduate university that is a global leader for transformational research and education in technology and management. Research Excellence Framework 2014 (REF) has recognised 81