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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous
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spectroscopy (XANES, EXAFS, and others) at synchrotron facilities such as MAXIV with theoretical molecular modeling of the corresponding systems. The work will be carried out in the Molecular Geochemistry
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to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We are seeking one to two PhD students
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-resolved and multimodal X-ray absorption spectroscopy (XANES, EXAFS, and others) at synchrotron facilities such as MAXIV with theoretical molecular modeling of the corresponding systems. The work will be
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. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial heterogeneity and
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Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience, sustainability, and environmental
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knowledge-based models and practical guidance that strengthen audit firms’ capabilities in delivering sustainability assurance, support the work of regulatory authorities, and enhance trust in sustainability
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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modeling. The knowledge generated in the project will form the basis for new methods and tools to better analyze household energy behaviors. Particular focus is placed on identifying barriers and variations