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research agenda. You should be excited about successfully combining theory and practice by developing data-driven methods and perspectives for sensing, computing, and communications engineering, and thrive
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, such as graph-based approaches with Retrieval-Augmented Generation (RAG) and fine-tuning of LLMs. • Contribute to developing open-source tools and code repositories • Produce high-level scientific
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theory. The PhD fellow will join the Human Augmentation and Collaboration (HAC) group and the Physical and Embodied Interaction (PEI) group. The HAC group designs and evaluates interactive systems
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, Mathematics, Control theory, or any other related discipline, potentially with skills in Power Electronics Converters and Control. Applicants who are in the final phase of their master’s degree are also
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competencies Applicants are required to have an excellent academic background with a master’s degree or equivalent in Energy Engineering, Electrical Engineering, Mathematics, Control theory, or any other related
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Denmark. The work consists of quantitative research, including developing research questions, conducting theory-driven statistical analyses of longitudinal register data, and, where relevant, linking
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and international scientific venues. Your competencies The successful candidate will have a Master’s degree (or equivalent) in Electrical Engineering, Robotics, Control Theory, Computer Science, or a
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environments This PhD project investigates the use of digital technologies (environmental sensing, user feedback loops, computer vision, machine learning) and theories of human perception and behavioral nudging
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory