Postdoc Position on Modeling of smart additive-manufacturing processes for high-performance concrete
Postdoc Position on Modeling of smart additive-manufacturing processes for high-performance concrete
Published
Deadline
Location
22 Jul
31 Oct
Enschede
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Job description
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.