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involve protein handling, general laboratory (bio-)chemistry, data analysis and comparison to expected physics. Due to the complex structure of the composite material, we expect emerging effects which can
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the composition-process-structure-property-performance chain; therefore, enable stability and control of novel manufacturing processes as well as achieving desired properties within materials science and
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-scale atomistic spin simulations to evaluate energetics, thermal stability, non-linear dynamics and stochastic response, and to propose materials engineering routes (composition, doping or strain
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-driven materials. Our mission is to create interactive, sustainable, and intelligent material systems that either unfold their unique functionality in aqueous environments or derive their properties
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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About us The DWI – Leibniz-Institute for Interactive Materials is a federal and state funded research institute of the Leibniz Association based on the Melaten Campus of RWTH Aachen University
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the micro-structures and nano-structures of pure substances and composites. Battery Cell Technology The battery cell serves as a technological demonstrator for developed materials. All developments
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Science and Engineering Forest Economics and Sustainable Land-Use Planning Forest Zoology and Forest Conservation Wood Biology and Wood Products Wood Technology and Wood-Based Composites Forest Nature
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Job related to staff position within a Research Infrastructure? No Offer Description PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential