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criteria Knowledge - Have solid knowledge in materials science, and particularly in physical metallurgy - Knowledge of thermodynamics and corrosion - Know the techniques for characterizing metallic materials
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the quantitative determination of metallurgical evolutions resolved in time but also in space of chemical compositions (concept of combinatorial metallurgy) of complex alloys along thermal and thermomechanical paths
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Postdoctoral position (M/F): Machine learning design of alloys for concentrated solar energy storage
Experience1 - 4 Additional Information Eligibility criteria Knowledge of materials science, thermodynamics, metallurgy Skills in artificial intelligence, modeling, thermodynamic calculations Scientific
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, physical metallurgy and modeling at the atomic scale. - Knowledge of statistical tools (PCA, kmeans, etc.) in R or python - Knowledge of Machine Learning methods - Mastery of scientific English Know-how
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metallurgy and material characterization methods MEB/EBSD skills would be appreciated but could be acquired Ability to integrate into a team and interact. Ability to communicate results in the form
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over 200 staff, it is one of France's leading materials research centres (https://www.cnrs-imn.fr/ ). The person recruited will work in the ID2M (Metallurgy and Materials Engineering) research team
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on solar metallurgy. The main objective of the research project is to develop a sustainable metallurgical process with low CO2 emissions by using concentrated solar energy to reduce iron ore, and the
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ExperienceNone Additional Information Eligibility criteria We are looking for a doctor in Physics or Materials Science with demonstrated experience in metallurgy and/or microelectronics using advanced transmission