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will be embedded in an interdisciplinary research environment combining environmental systems analysis, supply-chain research and data science. PhD Topic Description The PhD project will develop
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in professional scientific basic research. You can read more about the department here and about the faculty here . About the research project Candidates will be part of a research group investigating
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, Control Engineering, Computer Science, or a closely related field, with a strong foundation in robotics, autonomous systems, planning, and/or control theory. We particularly value strong programming
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environment combining process, chemical, energy, and electrical engineering. The group works with modeling, simulation, control, optimization, and experimental validation of fluid and energy systems, with
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type: Full Time Apply Generative Artificial Intelligence (GAI) is rapidly transforming higher education, yet most current GAI systems are designed to support individual productivity rather than
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advantage but is not required. We welcome applicants who are motivated to develop these skills during their PhD. The successful candidate will join Neurorehabilitation Systems Group at the Department of
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project, you will investigate the use of visible, near-infrared, and short-wave infrared hyperspectral systems to improve forensic investigations and support evidence interpretation in both laboratory and
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scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data analysis is an advantage but is not required. We welcome applicants who
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design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed-term position of three years, including
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researchers. Research environment The PhD project will be anchored at the National Institute of Public Health within the research group in Geographical and Register-based Epidemiology in Copenhagen