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How to apply: https://uom.link/pgr-apply-2425 This 3.5 -year PhD studentship is open to Home (UK applicants). The successful candidate will receive an annual tax-free stipend set at the UKRI rate
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design rules to understand their chemistry and physics. You will combine coarse-grained and atomistic simulations with surrogate models and experimental insights (with Dr. Baumgartner) to understand
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this coupling between electronic and ionic transport depends on atomistic interface structure, and how it evolves under operating conditions, is difficult to access experimentally and lies beyond the reach of
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-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, are jointly hiring a Doctoral Researcher. In this position, you
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of Chemistry and Materials Science, Aalto University, and the Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University
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position at the intersection of artificial intelligence, atomistic simulation, and materials science, starting in September 2026 or by mutual agreement. Our group develops computational methods to accelerate
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on the development and validation of the AI-enabled Digital Twin at the heart of the Horizon Europe AIM project. Over four years, you will build a modular framework that couples atomistic chemistry, mesoscale
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High