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Department of Chemistry invites applicants for two PhD fellowships in theoretical catalysis. The projects are rooted in the Theory group which is part of Center for High Entropy Alloy Catalysis
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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and colleagues working with theory that will complement your work with density functional theory, phase-field simulations, and finite element modelling. Qualified applicants must have: Enthusiasm
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demonstrated experimental realizations and proven theoretical advantages. The project may involve several aspects, including mathematical theory, algorithm development, error correction, adaptation of GBS-based
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understanding of combustion and engines. Knowledge of advanced combustion concepts is a merit but not a prerequisite. Practical experience of engine operation in a lab is a merit. Knowledge of control theory is a
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and combines social-scientific traditions such as organization theory, sociology, science and technology studies, political economy, and social psychology in the analysis of organizing processes and
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organization theory, sociology, science and technology studies, political economy, and social psychology in the analysis of organizing processes and their outcomes. Methodologically, we value qualitative
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cement based on literature, theory, and experiments. Optimization of composition with other waste materials. Thermodynamic modelling and experiments with advanced technologies are used. Development of a
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possible thereafter. The project explores how moral reasons to worry about inequality and poverty are transformed when wealth becomes extreme and aims to build new theory on the morality of extreme wealth
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qualitative research as an integrated whole, where methods, theory, and empirical work mutually enrich each other Brings together diverse perspectives: humanistic, educational, socio-cultural, and existential