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for industrial systems. The role is part of the EU-funded FLARE project, which focuses on improving industrial resilience, flexibility, and sustainability through digitalisation and advanced analytics
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data-driven net zero carbon energy system. The appointee will support the development of data architectures, analytics tools, and interoperability frameworks aimed at integrating building energy data
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and intelligent systems for industrial applications. Based within the School of Engineering and Architecture, IERG develops and applies cutting-edge analytics, modelling, and decision-support
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analytical methods used within the project. This role is intended for candidates with strong technical and analytical skills who are eager to gain applied research experience in sustainable energy systems
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advanced data analytical and modelling techniques, Zero Hidden Hunger EU will deliver credible evidence enabling policymakers and food system actors to deliver food-focused strategies to eradicate
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include an analytical writing exercise in English. Knowledge of Italian, Korean, or Swedish is an advantage but not required. The vacancies will be filled on a rolling basis. Appointments will be made
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-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key analytes that indicate bioprocess performance, could be quantified, automatically
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, distilling and dairy processing, are operated sub-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key analytes that indicate bioprocess
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(AD), brewing, distilling and dairy processing, are operated sub-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key analytes
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and applies cutting-edge analytics, modelling, and decision-support methodologies that improve how energy and resources are managed in complex industrial systems. The group’s research spans four core