PDEng position in Business & IT - FAIR Data repository for Explainable Artificial Intelligence

The Professional Doctorate in Engineering (PDEng) programme Business & IT offers you a 2-year position combining post MSc education and a design project to be carried out at Apollo Tyres.
The educational programme, carried out at the University of Twente, will have an in-depth and broadening character with ample attention for professional development and will be partly tailored to the design project. In collaboration with Apollo Tyres you will work on high level, creative new designs for complex issues.

The project – FAIR Data repository for Explainable Artificial Intelligence:

Your main goal is to develop a data repository to serve as central database that stores data about tyre mould parameters, tyre specifications, tyre test and FEA data. This data repository needs to support explainable AI methods, such as white-box artificial neural networks.
You will define a data model schema (e.g., an ontology) covering the existing data, identify machine learning algorithms and run experimentations, choosing the most appropriate ones.
The machine learning algorithm needs to identify minimum values of certain tyre mould parameters and tyre constructions to achieve a certain level of these tyre performance indicators: (1) Rolling resistance needs to be minimized; (2) High speed needs to be maximized; (3) Tyre durability tests needs to be more accurate.
You will use techniques like data management, ontology engineering and machine learning, and other modelling and software engineering techniques to develop the data repository.
You will cooperate with Apollo Tyres R&D, covering performance and technology aspects of Apollo Tyres’ products and services.