PI of MAGICON is Erik Schlangen. He is professor of Experimental Micromechanics at Delft University of Technology in Delft, The Netherlands, at the Faculty of Civil Engineering and Geosciences, department 3MD, section Materials & Environment.
Central to his work is micromechanics, which involves studying materials at the microscopic level to understand and manipulate their structural properties. This research provides insights into the intrinsic behaviours of construction materials, allowing for the development of more durable and sustainable solutions. The studies on the micromechanical properties of concrete and asphalt have also led to breakthroughs in self-healing materials, enhancing the longevity and resilience of infrastructure. Additionally, his research encompasses smart construction materials, discrete element modelling, and 3D printing of concrete.
more info: www.erikschlangen.net
Co-supervisor of PhD 4 is Iuri B.C.M. Rocha. He is Assistant Professor at the Faculty of Civil Engineering and Geosciences at Delft University of Technology, department 3MD, section Applied Mechanics.
His research focuses on developing fast and accurate computational mechanics tools for high-fidelity multiscale and multiphysics analysis of complex materials. His research lines of interest include:
- Concurrent multiscale modeling (computational homogenization)
- Modeling of material degradation and failure across scales
- Manifold learning, projection-based model-order reduction, hyper-reduction
- Physics-informed machine learning for surrogate modeling
- Bayesian inference/learning, adaptive methods, active learning
Arjan Thijssen is a technician in the Microlab, supporting the research with Microscopy using ESEM and digital microscopes. Furthermore he will be running the CT-scanning machine and develop humidity chambers for our equipment to study moisture transport..
Maiko van Leeuwen is a technician in the Microlab that will be responsible for specimen making and preparation for the advanced testing. He will focus on supporting the mechanical testing in the project.
We have a vacancy for a Post-Doc in the project. The position is for 2 years and should start in November 2025.
The Post-Doc should preferably have a PhD with background in self-healing materials with knowledge of characterisation techniques and SEM/EDS. It is important that this (experienced) PD starts at the beginning of the project to assist in getting the project running smoothly from the start.
If you are interested in this Post-Doc position then please send an email with CV, motivation and your approach for this part of the project to: info@erc-magicon.eu
PhD 1 (start November 2025, position for 4 years): A researcher with experience in experimental mechanical testing and nanoindentation and affinity with small scale manufacturing tools. The preferred background is mechanical or civil engineering.
If you are interested in this PhD 1 position then please send an email with CV, motivation and your approach for this part of the project to: info@erc-magicon.eu
PhD 2 (start November 2025, position for 4 years): A researcher with experience in transport mechanisms and CT-scanning and evaluation. The preferred background is materials science, civil engineering or physics.
If you are interested in this PhD 2 position then please send an email with CV, motivation and your approach for this part of the project to: info@erc-magicon.eu
PhD 3 (start ~November 2026, position for 4 years): A researcher with experience in computational modelling and experience with processes in construction materials. The preferred background of this student is civil engineering and the candidate should be able to understand the mechanisms and processes that are studied by PhD 1 and PhD 2.
If you are interested in this PhD 3 position then please send an email with CV, motivation and your approach for this part of the project to: info@erc-magicon.eu
PhD 4 (start ~November 2026, position for 4 years: A researcher with affinity for ML-tools and an engineering background.
The main tasks will be to develop AI tools and ML techniques to transfer the mechanisms, relations and data developed by the other researchers into a multi-scale virtual Ashby plots-like design space for concrete. The developed tools should take into account the heterogeneity and variability of the microstructure and should results in data with probabilistic nature.
If you are interested in this PhD 4 position then please send an email with CV, motivation and your approach for this part of the project to: info@erc-magicon.eu