Hybrid machine learning / simulation methods

Within a recent industrial collaboration we have been asked to develop a machine learning model for estimation problems in a mechanical device. For the same device, a model-based simulator is also available. In this thesis we would like to explore how the model based simulator might be integrated with machine learning in order to improve the quality of predictions