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the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate materials for sustainable energy, with proven expertise in hydrogen embrittlement, hydrogen storage
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within the M2i framework Your work environment You will be part of Team Dey within the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate
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of an integrated approach for multi-material and multi-step simulations using advanced digital engineering tools. Your work will span circular materials research (plastics and metals), the creation of high-quality
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multiscale simulations and AI predict how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive surface functionalization and derive
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Thermoplastic composites are widely regarded as promising materials for the next generation of commercial aircraft, combining excellent mechanical performance with low weight. In addition
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ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ
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Can spectroscopy reveal how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive protection and follow their chemistry in real
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11 Jul 2026 Job Information Organisation/Company University of Groningen Research Field Engineering » Materials engineering Engineering » Simulation engineering Researcher Profile First Stage
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many distances are required to reconstruct the edge set of a graph?') or finding structures that can lead to faster algorithms ('How fast can you 3-colour an n-vertex graph of diameter 2?'). The PhD will
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can you 3-colour an n-vertex graph of diameter 2?'). The PhD will be supervised by Carla Groenland. You will have the opportunity to collaborate with postdocs, PhD candidates, and other faculty members