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Transport Systems Laboratory, equipped with cutting-edge technology that supports research in autonomous transport, decarbonisation, machine learning, travel behaviour, air transport management, and transport
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strong background in both robotics and machine learning, with first-authored publications in the leading international conferences/journals in robotics. Candidates should have experience in some or all
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and computer-intensive resources. Performance Optimization: Continuously monitor and optimize the performance of both internal and cloud-based systems, implementing best practices for resource
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interest in research. Demonstrated ability to plan, conduct, and analyse clinical research independently. Proficiency or willingness to develop skills in bioinformatics, data analysis, and machine learning
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.). Besides these research-focused areas, we expect the successful candidate to be able to contribute to our teaching portfolio within e.g., data science, machine learning, IoT, computing, etc. We additionally
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expected to initiate and expand research collaborations with colleagues at the School, at Imperial College London, and beyond. Teaching – The Dyson School of Design Engineering provides exceptional learning