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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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should have a proven track record demonstrating high quality research on topics which include, or are closely related to, the understanding and behaviour of new fundamental physics around extreme compact
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fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot
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related field. You have an excellent academic track record in topics relevant to robot perception - visual inertial odometry (VIO), mapping (SLAM) and 3D reconstruction. Experience with ultra-sound would be
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simulation software to study interactions. Applicants must demonstrate a track record in applying such approaches including a relevant Ph.D./DPhil and experience. Applicants must also be confident in using
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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, publication track record, and ability to contribute to the project. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer
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the CYCLONE team, whilst managing and prioritising elements of an ambitious list of interesting and impactful objectives. This post offers an outstanding opportunity to advance the Research Associate’s
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managing and prioritising elements of an ambitious list of exciting and impactful objectives. This post offers an outstanding opportunity to advance the Research Associate’s career in the area of attribution