Research project description
Digital twins of physical systems are a key enabler for reducing costs and improving the efficiency of processes and reducing waste in value chains. The EU-funded AutoTwin project is developing breakthrough methods for automatically generating and maintaining Digital Twins from system data. The research challenge lies in using event data of entire systems and value chains to generate accurate Digital Twin models describing the complex interactions of multiple products, machines, and actors – up to identifying cause-effect relations and enabling what-if analyses.
Within AutoTwin, the Process Analytics research group of TU Eindhoven has the ambition to realize a foundational knowledge graph-driven approach for process mining that supports the full cycle of Digital Twin management: event data integration, simulation model learning, model validation and what-if scenario generation, cause-effect analysis, and conformance checking.
The PostDoc position offers the unique opportunity to develop next-generation process mining technology that can analyze and simulate entire systems, to shape new theories, realize them in technology that are transferred into an industrial context.
You will be joining the Process Analytics group of TU Eindhoven in their mission of laying the foundations of an entirely new research field of process mining for entire systems and digital twins.
Your main scientific focus will be in researching, developing, and implementing novel models and efficient algorithms for process mining over (very large) knowledge graphs; and also publish your results as scientific articles and open-source software.
You actively collaborate with multiple European universities and research institutes in developing techniques for learning, using, and maintaining simulation-based digital twins, and their validation in industrial use cases in the AutoTwin project. Part of your time, you dedicate to standardizing the developed techniques and their dissemination through developing tutorials, training, and communication material. You actively support the Process Analytics group in coordinating a work package of the AutoTwin project.
You will have the opportunity to supervise Bachelor and Master projects and to participate in teaching activities in your area of expertise.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
Eindhoven University of Technology is an internationally top-ranked university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager, dr. Dirk Fahland, d.fahland[at]tue.nl.
Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services M&CS, HRServices.MCS[at]tue.nl.
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We invite you to submit a complete application using the apply-button. The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.