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flexibility. To fully unlock this potential, we need advanced tools that digitally replicate these networks and support optimized design and data-driven control strategies. As our PhD candidate, you will
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environment with cutting-edge laboratories and facilities to support transformative research across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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Flyway. The project focuses on creating and connecting optimal breeding and non-breeding areas for species like the Black-tailed Godwit. The project implements meadow bird-friendly measures in project
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, feedback optimization, distributed control, consensus protocols, nonlinear control, robust control, with application to energy systems (e.g. smart grids, district heating, hydrogen networks) and traffic