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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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) /COMSOL/ Abaqus etc., with a strong focus on multi-phase modeling of high-energy density heat sources, including laser-material and electron beam-material interactions Good programming skills (e.g. Python
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signal processing (GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral
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(GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral communication skills
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data science Proficiency in Python programming Experience in machine learning for materials development (e.g. supervised and active learning, feature engineering) Interest in lab automation (LabView
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beam-material interactions Good programming skills (e.g. Python, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently
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experience of Python, VASP, PySCF, classical mechanics, scientific IT and data handling Experience in neural network architectures, bayesian optimization, random forest, kernel models, or gaussian process