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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods
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, www.uni.lu ), offering broad methodological training and transferable expertise. Your Responsibilities: Conduct research in the field of Multiscale Computational Methods for novel metamaterials as described
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variability using dedicated tools (e.g., Dakota) and analyse uncertainty propagation on structural responses. Document methods and results through reports, figures, conference/journal publications, and
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ML frameworks like PyTorch/JAX Genuine interest in MLFFs, simulation methods, and foundational ML research Desired skills: Experience with atomistic simulation codes: ASE, FHI-aims, VASP, CP2K