Post-doctoral Research Associate SMART-PD01
Application of machine learning techniques to manufacturing and materials science.
The candidate will work in a project related with smart manufacturing of composite materials by injection/infusion techniques. The project will consist in a joint collaboration between Data Mining Research Group from Universidad Politécnica de Madrid (UPM) and IMDEA Materials Institute. The research activities will be focussed on the application of simulation techniques (computational fluid mechanics) to the optimization of manufacturing process of composite materials by liquid moulding, including the creation of a physical demonstrator. The optimization aims to be carried out by applying Big Data techniques in the context of storage and management and machine learning approaches for the development of predictive models. The management and funding of the project belongs directly to IMDEA Materials Institute.
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