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-series analysis and forecasting in the context of condition monitoring and predictive maintenance for industrial process forecasting and control. In the earth and climate sector, DSIP is involved in
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in fault detection, diagnostics (FDD), and preventative/predictive maintenance for industrial systems. The role is part of the EU-funded FLARE project, which focuses on improving industrial resilience
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Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed
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profiling, and gnotobiotic mouse models to create predictions for which infants are most susceptible to sepsis. We are looking for an enthusiastic Postdoctoral Research Associate to join our team
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the Sustainability Institute at University College Cork. UCC invites applications for a Postdoctoral Researcher with strong expertise in fault detection, diagnostics (FDD), and preventative/predictive maintenance
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be defined at two levels: SAACD Component: This is a UAV made up of hardware and software sub-systems, capable of observing, predicting, deciding and reconfiguring itself to fulfil its mission (e.g
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Job Description In the context of Industry 4.0, predictive and prescriptive monitoring are among the key tasks enabling the anticipation and prevention of errors, thereby reducing maintenance costs
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, titanium, and reinforced thermoplastics, using innovative manufacturing technologies based on Friction Stir Welding (FSW) and Additive Manufacturing (AM). Additionally, predictive models of the mechanical
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Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis
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, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10