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activities, as specified below (“Formalities and salary range”). Place of work Place of employment is Aarhus University, and place of work is Department of Mathematics, Faculty of Natural Sciences, Ny
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, the developed models will be deployed in realistic scenarios, including turbulent flows over complex terrain, within built environments, and in wind farms. The project integrates fundamental applied mathematics
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. Qualifications We are looking for a highly motivated researcher with a background in atmospheric chemistry, physics, mathematical modelling, climate science, or related fields. The ideal candidate should have
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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and verbal English communication skills Candidates with backgrounds in Physics, Mathematics, or Statistics are also encouraged to apply if they have strong competencies relevant to machine learning
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engineering, data science, statistics, mathematics, physics or an adjacent subject, with focus on medical image analysis and/or deep learning. Furthermore, the following competences will be expected
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, materials science, applied mathematics, or a closely related discipline. The project focuses on failure and fracture phenomena. Knowledge of condensed matter or statistical physics, as well as modelling