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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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. This is particularly relevant for high-demand engineering structures, where local stress concentrations often drive damage initiation and limit service life. The PhD will focus on a staggered bottom-up
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nutrient uptake. Despite its importance, this underground system remains insufficiently understood from a mechanistic and modelling perspective. This PhD project aims to develop innovative mathematical 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