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specialising in combinatorics, group theory and geometry. The position covers four years of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is 31 August
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Position Description The Department of Mathematics and Mathematical Statistics is opening a fully funded PhD position in mathematics specialising in combinatorics, group theory and geometry
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of visual learning theory, the PhD student will develop methods for understandable latent representations and implicit neural models. For further details, see the ELLIIT project Learning Geometric
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standard simulation methods. This PhD topic falls within the area of computational materials science and will involve the use of established methods such as density functional theory and molecular dynamics
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carries out research, undergraduate and postgraduate education within materials physics and materials chemistry. The division combines theory and modelling, materials synthesis, characterization, and
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mixture of theory and practice. The selected students will be part of the Department of Computing Science at Umeå University, as well as the WASP graduate school. Possible research directions may be
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Energy, Physical Resource Theory, Operational Research, or similar areas. Advanced knowledge of written and spoken English is required. You should be able to communicate both within the academic community
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environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field
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environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field
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estimated from observed data. The overall aim of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models