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legislation. This is hindering their development and delaying their introduction into the market. The engineering process for ensuring compliance with functional safety requirements involves thorough risk
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Overview: This exciting PhD opportunity is at the intersection of aerospace engineering and cutting-edge technology. It focuses on developing an innovative ground-based robotic inspection system
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Job Description The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position on the topic of “Automated machine polishing of complex mould
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The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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minimise observer variability, leading to more reliable and accurate predictions of patient outcomes. Furthermore, integrating AI-assisted frailty assessments into surgical risk scores can provide a
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, reliability, and environmental resilience. The proliferation of intelligent systems has led to increased energy consumption, raising concerns about sustainability and operational costs. Energy-efficient
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for the automatic generation of future energy technology scenarios based on LLMs, patent data, and scientific literature Investigating the system-level conditions under which future technologies like fusion and
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, resilience, and/or reliability assessment and their application to power and energy systems The ability to present complex information effectively to a range of audiences with clarity Experience of working as
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performed under this internship by an Electrical/Power Engineering PhD student would support AEMO with assessing key non-credible contingency risks in future scenarios and could include: Supporting complex