About the Project
We are now looking to further developments in this research, in particular to focus on knowledge extraction and integration across the design, manufacturing and operation phases. We are particularly interested in the integration of model based methods and causal reasoning modelling for the behaviour of the systems (as a behaviour centric digital twin), with data-driven modelling of driver, driving and system behaviour, focussed on extraction of tacit knowledge from complex data streams, to continuously update the system models. We are focussing on end-user applications including knowledge update for system design, data-driven modelling and simulation, and intelligent verification and validation, as well as integrated health management.
The Advanced Automotive Analytics provides a vibrant interdisciplinary environment, offering rich opportunities to interact with industry stakeholders (global OEMs) providing cases studies with real world data and problem scenarios. We welcome applications from individual with a strong interest for data science methods applied in an automotive engineering systems modelling context.
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