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. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned interatomic
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compositionally complex circular steels. As a PhD researcher, you will: Perform Density Functional Theory (DFT) calculations to model hydrogen-tramp element co-segregation at grain boundaries and phase boundaries
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(DFT) simulations and develop machine learning potentials to investigate zeolite-related systems. The role will focus on delivering research projects and promoting research excellence in this area. The
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• A PhD degree in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field. Candidate who is in the final stages of PhD studies (i.e. submitted thesis; pending oral defence
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• A PhD degree in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field. Candidate who is in the final stages of PhD studies (i.e. submitted thesis; pending oral defence
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will elucidate how silicon disrupts copper wetting and diffusion. A central aspect of this project is the development of a Density Functional Theory (DFT)-accurate machine-learned interatomic potential
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development of a Density Functional Theory (DFT)-accurate machine-learned interatomic potential (MLIP) for the multi-component steel system of interest. Ultimately, this simulation-driven framework will allow
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» Condensed matter properties Technology » Materials technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 20 Sep 2026 - 23:59 (Europe/Oslo) Country Norway Type
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The successful candidate should possess the following: • A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields • Highly motivated, committed, and capable
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The successful candidate should possess the following: • A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields • Highly motivated, committed, and capable