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Field
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platform of analogue hardware accelerators, so-called Ising machines, that efficiently speed up these computationally difficult tasks in a way unlike any current digital computer. These Ising machines are a
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips
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-house. For this, knowledge of swarm robotics hardware and software is required. You will also work closely together with our VR lab to ensure the creation of comparable virtual worlds in which robots and
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, Cranfield fosters innovation through applied research, bridging academia and industry. Students will have access to state-of-the-art laboratories, hardware/software resources, and design facilities
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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observations of the upper atmosphere and ionosphere. The Swedish Space Corporation (SSC), with its facility Esrange, provides services and infrastructure for access to space. The Department of Computer
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significantly reduce the amount of vibration data to be stored on edge devices or sent to the clouds. Hence, this project's results will have a high impact on reducing the hardware installation and operation
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hardware and data handling toolchains. The research will also involve modelling, analysis and characterisation of the system and components. The PhD will include a placement of minimum 3 months with Team
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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., barrier certificates) is advantageous. You will collaborate with experts in control theory and have opportunities to test theoretical insights in simulation and hardware environments. To apply please