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processing, advanced materials characterisation, control and bio-inspired materials/structures. The outcomes will contribute to the development of next-generation autonomous systems, advancing embedded sensing
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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from all backgrounds to join our community. The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) at Aalto
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modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
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Research Objectives (OBJs) include OBJ1- Modelling framework design, development, and validation of models for the eVTOL and its sub-systems for both control development and evaluation. OBJ2- Design and
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be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering) under the co-supervision of Professor Balarko Chaudhuri and Professor
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the technology, hence there is a drive from the industry to address this. To answer this question requires an interdisciplinarity approach, combining Industry input alongside physical sciences and physiological
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cycles. Among the most critical but poorly understood aspects is how MNPs interact with plankton communities, which form the foundation of food webs and drive the ocean’s biological carbon pump-a key
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We invite applications for a PhD project focused on fundamental research into novel low-emission ammonia combustion/oxidation processes. This position is based within the Faculty of Engineering at
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for one of our information sessions , and to download the application form . The QUARTILES Doctoral Landscape Award (DLA) is a BBSRC and NERC-funded research and training programme designed to equip PhD