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mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University
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learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
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of technology, people, and society to drive the transition toward a sustainable future. Through research, education, and collaboration, we create solutions that connect materials to mobility, ideas to impact
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. The researcher will primarily design and execute total X-ray and neutron scattering experiments, using pair distribution function (PDF) analysis to elucidate the short- and medium-range atomic order in disordered
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simulation and AI-supported data analysis are central tools. The work is carried out at the Department of Fibre and Polymer Technology and in collaboration with FOI and industrial partners. Qualifications
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of Mechanical Engineering , we unite the power of technology, people, and society to drive the transition toward a sustainable future. Through research, education, and collaboration, we create solutions
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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in large pre-trained models (vision-language models), generative models (flow matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of
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with the needs of society and working life. Together, we contribute to sustainable societal development. The Faculty comprises three departments with a total of approximately 500 staff. The Department
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equivalent foreign degree, obtained within the last three years prior to the application deadline Experience with simulation frameworks, system-level performance evaluation, or machine learning, is highly