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Energy-Water Systems (I- CREWS ), which seeks to increase understanding of how physical infrastructure, data, governance, local knowledge, and community context shape resilience under meteorological
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. Knowledge of forage nutritive value analysis and livestock nutrition metrics. Experience integrating agronomic datasets with animal production or agricultural economic analyses. Familiarity with ARM
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partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and uncertain sensing. The positions are linked to the AI in
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forecasting of terrestrial and/or aquatic ecosystems with an emphasis on microclimate and ecophysiology Leveraging structured decision-making to assist conservation planning given uncertain futures Position
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metals, which are associated with uncertain supply chains, pollution due to mining, and geopolitical issues. Therefore, research on alternative rare-earth-free magnets is a top priority and paramount for
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partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and uncertain sensing. The positions are linked to the AI in
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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework for
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, reliable, and intelligent robotic operations in dynamic and uncertain environments. Depending on the candidate’s expertise, the work may involve wireless communications, multi-robot coordination
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reach. Afterwards the drone has to land on the ground robot again, with noisy odometry and an uncertain estimate of where the ground robot is. This position will develop the estimation and control
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dynamics knowledge, or drag-aware optimisation strategies to enhance manoeuvre timing and mission responsiveness. Building on this, the fellowship will also explore applications in fragile or complex