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the two models and validate the result on an industrially relevant part. We are looking for a colleague who has a very strong background in mathematical derivation and implementation of numerical methods
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societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical
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(applied mathematics, software engineering, and medicine), it is expected to refine the scope and goals of the project with the selected applicant, depending on technical skills and personal interests
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writing and presentation skills. At the start of the PhD, having obtained a Master’s degree in a relevant field, such as AI, mathematics, physics, (computational) neuroscience, etc.. Terms and conditions
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batteries enter the power system, requires state-of-the-art decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which
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skills. Strong academic background – You hold (or will obtain by winter 2025/2026) a Master’s degree (MSc or MPhil) in Economics, Econometrics, Finance, Mathematics, Business Administration, or a related
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Sensing, Applied Mathematics, Statistics or a closely related field; a strong methodological background covering spatial sampling, design-based estimation, model-based prediction (geostatistics, machine
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science, engineering, physics, mathematics or a similar domain. There is a strong preference for an applicant with a biomedical background. Experience with medical image processing, histopathology, computer vision
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Dr Marc Russwurm. Your qualities We seek a highly motivated PhD candidate having: a master’s degree in Geo-Information Science, Physical Geography, Remote Sensing, Applied Mathematics, Statistics or a
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range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering, to interdisciplinary fields such as artificial intelligence,nanoscience