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physics is important. Knowledge of experimental control systems and the design of experiments is also essential. You will be expected to contribute to scientific publications in international peer-reviewed
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. The position is fixed term and full-time and includes both research and teaching activities. The PhD scholarship is part of the research project Not Liking School: Lived Experience of School Emotions, funded by
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bring substantial experience with multiscale modelling of mixed mode delamination in laminated fibre reinforced polymer composites, and you are familiar with the key challenges involved in describing how
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have: A PhD in electrical engineering, energy engineering, mechanical engineering, control engineering, operations research, applied mathematics, or a closely related field. Documented experience in
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learning, computing, data science, biomedical engineering, or a related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with
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STS, governance studies and infrastructure studies in collaboration with Professor Torben Elgaard Jensen (leader of the IPA project). have substantive experience with ethnographic research
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(cand. oecon, cand. merc, or similar) and extensive knowledge of and experience in teaching and supervision at university level. Qualification requirements The qualification requirement for the position
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other omics data High-quality publications Experience with project management Excellent writing and communication skills in English Excellent skills in initiating projects and working independently
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questions, and be able to think critically and develop your own scientific ideas. Previous experience with machine learning, wearable sensors, haptics and control systems is an advantage but is not required
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background equips you to work with both materials and processes, and you are comfortable operating at the interface between experimental work and computational modelling. You have experience with Machine