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Cambridge, Massachusetts. Your key responsibilities will be to: design and implement mathematical algorithms, and facilitate their integration into Magma engage with users, researchers, and developers, both
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Level A) Based at our vibrant and picturesque St Lucia Campus About This Opportunity Join a growing, collaborative research team developing innovative quantum algorithms for decarbonisation applications
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evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or experiments with people and AI systems. Some students may develop new theory or algorithms; others may use
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machine learning, mathematical modelling and algorithm design to enable autonomous operation of large satellite constellations. You will also develop an open-source simulation and benchmarking platform
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machine learning, mathematical modelling and algorithm design to enable autonomous operation of large satellite constellations. You will also develop an open-source simulation and benchmarking platform
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an opportunity for a Research Associate to develop quantum-enabled synchronisation algorithms for deployment on space-based platforms. You will contribute to research involving quantum and classical optical
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machine learning can be used to understand complex behaviours such as reliability, competence, transparency and trust. The position will design and develop innovative reasoning algorithms and knowledge
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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational frameworks and approaches spanning sensing optimisation, adaptive