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in areas such as algebraic geometry, complex geometry, number theory, mathematical physics and mathematics of AI. About the research project This project investigates broad questions in arithmetic and
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diagnostics and prognostics, and modelling and control of vehicle functions. Through a close integration of theory and practical applications - often in collaboration with industrial partners - the division
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and Engineering. About us You will join the Healthy AI Lab , a research group led by Associate Professor Fredrik Johansson , that develops machine learning methods and theory to improve data-driven
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, while ensuring that the work is grounded in the objectives and framework of the project. The work is carried out using a broad spectrum of qualitative methods and supported by critical theory. You will
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theory. You will work together with the project team at Karlstad University, Umeå University, and our research participants and collaboration partners. An important part of the project is to contribute
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, data science, or a related field. We also think you have a strong mathematical background and knowledge of optimization, particularly in areas such as complexity theory, high-order methods, acceleration
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catalyst materials to density functional theory calculations to understand surface reactions and materials on an atomic level. It provides an international and family-friendly environment that highly
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and biomedical engineering. The Automatic Control division conducts research and education in the analysis and control of dynamic systems. Our work combines fundamental control theory with applications
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for a two-year postdoctoral position in random matrix theory and high-dimensional statistics, in close collaboration with Assoc. Prof. Johannes Heiny. The research project aims at understanding phase
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scientifically but also educationally, within our research subject. Subject description Product Innovation comprises theories and methods for needs- and knowledge-driven development processes where products and