52 computational-physics-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Cranfield University
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, chemical engineering, mechanical engineering, physics, or related disciplines are encouraged to apply. Experience with thermodynamics, corrosion, computational modelling, or high-temperature materials is
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A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual
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confidence, safety, and reliable shared decision-making. To achieve this, the programme offers two closely connected research directions. The first area focuses on real-time multimodal human trust sensing
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collaboration in time-critical tasks. By integrating foundation models like large language models (LLMs) with physically embodied agents (e.g., drones or vehicles), the research focuses on enabling adaptive
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potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been
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knowledge co-evolution and addressing complex challenges in a super-intelligent society. This project is situated within the rapidly evolving field of Cyber-Physical-Social Systems (CPSS), which is of
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and associated events, alongside the formation of a novel multi-physic digital twin to support future forensic identification of UAS fingerprint profiles. The main objectives are: 1. Identify, evaluate
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. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Urban blue networks, including rivers, canals and wetlands, are dynamic systems that shape how cities
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models and physics-based models. More recently, hybrid prognostics approaches have been presented, attempting to leverage the advantages of combining the prognostics models in the aforementioned different
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-efficient research that prevents fatigue failures has pushed towards integrated computational materials engineering approaches that improve competitiveness. These approaches rely on physics-based models