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Postdoc Explainable AI for Sequential Data From Industrial Systems at Eindhoven University of Technology

Applications are invited for a postdoctoral fellowship position in semiconductors to join Eindhoven University of Technology. Applications will be evaluated on a continuous basis.

Eindhoven University of Technology, the Netherlands (Netherlands scholarships) is looking for a Postdoc for a project on Explainable AI for sequential data from industrial systems

Optimization of manufacturing processes is turning to data-driven approaches, aiming to leverage the available data. A major obstacle in adopting many of these data-driven methods in the manufacturing industry is their black-box nature.

Deep neural network models of high dimensional data can reach very high performance ,n a supervised learning setting. However, their applicability is still challenged by a number of drawbacks: their behavior is hard to interpret, it is hard to provide strong guarantees of generalization, it is hard to incorporate existing domain knowledge in their training process, and it is hard to apply in real contexts where data is noisy, corrupted or violating the i.i.d. assumption.

This position is funded by the MADEin4 European project targeting the design and validation of data driven methods and tools /or metrology in semiconductor industry. The project is joined by around 40 industrial and academic partners. Our focus is on developing explainable modelling methods /or sequential data incorporating expert knowledge in the optimization processes that will benefit /rom the expert knowledge and help build confidence in the model predictions, to ease the adoption of data driven approaches in the industry.

Do you recognize yourself in this profile and would you like to know more? Please contact Mr. M. Holenderski m.holenderski[at]tue.nl or +31 40 247 5203.
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