Project Overview
The goal of this project is to create a system capable of autonomously selecting the optimal concrete composition and process parameters to produce the ideal concrete paste for specific applications, so as to reduce material wastage and improve the environmental performance of concrete as a building material.
This collaborative project between the University of Twente and the University of Applied Sciences Saxion brings together a wealth of expertise from fundamental science, granular material modeling, software development, calibration, creative design, and concrete printing. As the Postdoc, you will lead the development of the digital twin environment, working closely together with a PhD student who will focus on developing the physical twins of the mixing and printing processes. Together, you will create a virtual twin for these processes, using a combination of granular material modeling and machine learning techniques. Supporting this position is an academic team consisting of academic staff members with expertise that covers modeling, programming and experimentation.
Information and application
For further information or informal inquiries about the position, please contact t.weinhart@utwente.nl.
Please apply via the "apply now" button. The application deadline is October 31, 2024.
The first (online) job interviews will take place in the weeks of November 11 and 18.
About the organisation
The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We enable society and industry to innovate and create value using efficient, solid and sustainable technology. We are part of a ‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.
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