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-level understanding of kinetics in solid-solid phase transitions; Develop advanced machine learning methods for the fast prediction of materials properties; Publish results in peer-reviewed journals and
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independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social
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prediction, traffic incident management, and infrastructure resilience. Candidates with research experience of applying machine learning (ML) or artificial intelligence (AI) methods in one of these areas
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experience, especially in naturalistic settings, is also very helpful. A skillset in statistical analysis and/or machine learning data analysis is a plus, and candidates with expertise in typography, graphic