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research questions, and be able to think critically and develop your own scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data
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, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health data without compromising individual privacy. Using unique, nationwide
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26 Jul 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Esbjerg Energy Section Research Field Engineering
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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
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• Participate in the department’s research environment • Complete a PhD training programme • Teach at one or more of the department programmes Your main task as a PhD student will be to develop and complete a PhD
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-Physical Energy Systems The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be
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contribute to interdisciplinary research spanning process engineering, power engineering and sustainable energy systems and help develop future large-scale Power-to-X solutions. Your work tasks In this PhD
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. what you hope to learn during the Ph.D. program your experience and interest in conducting research Curriculum vitae (CV) Grade transcripts and BSc/MSc diploma (in English) including description
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candidate and a postdoctoral researcher. The candidate’s workplace will be in Aalborg. As part of this project, you will investigate the impact of generative AI on creative processes and design novel ways
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pedestrian comfort, even in complex crowd scenarios. The research moves beyond predefined or rule-based behaviours by integrating online learning and adaptation with formal safety guarantees. The project will