Many of today’s high-tech systems are essentially networks of complex processing units. Think of Vanderlande’s bagage handling systems, ASML’s wafer scanners or any Hospital in the world. These systems constantly capture and integrate streams of event data for the purpose of outlier detection, prediction and forecasting and even redesign.
The analysis of large-scale networks of interacting processes is a challenge in process analytics that is receiving more and more attention. The aim of the so-called thinking assistant in this context, is to enable the realization of AI-Augmented Process Management Systems.
The concept combines data engineering, data & process mining and artificial intelligence to store data and knowledge together. By detecting, identifying and predicting behavior of of individual cases and entire systems together, the thinking assistant shall recommend actions for operation and improvement of these systems. By observing the outcomes of actions taken, the thinking assistant shall learn and improve its recommendations to operators and process managers.
The process analytics group is looking for an assistant professor interested in realizing this vision of the Thinking Assistant, by working on its theoretical and conceptual foundations as well as its realization in industrial contexts and case studies. The assistant professor will support the Process Analytics group in teaching Bachelor and Master courses in process mining, data analytics, and various challenge-based, project-oriented courses.
This position is part of a larger hiring round, to apply, please click on APPLY NOW on the vacancy page. More information about the department we are part of and the other groups therein can be found here.