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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Professor. Andy Cooper FRS, and Dr Gabriella
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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Professor. Andy Cooper FRS, and Dr Gabriella
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About the role This is an exciting opportunity for a Postdoctoral Researcher to join a project developing robotic tools for long term directed evolution of microbes. The project team includes
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successful candidate will join the Intelligent Muscle Research Group, led by Dr Majid Taghavi, within the Advanced Robotics Laboratory. The role involves close collaboration with a team of researchers, led by
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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or flexible. While classical rigidity theory and graphic statics focus on axial forces along bars, real-world structures such as bridges, buildings, robotic systems, and mechanical metamaterials also experience
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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-throughput and robotics facilities. In this period of the project the team will focus on ML-assisted experimentation for developing functional materials based on bio- and natural polymers. Specific knowledge
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to the 30th September 2026. We are looking for outstanding machine learning researcher to join the Torr Vision Group and work on AI Scientists: systems that use foundation models, AI agents, and robotics
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential