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decision making. This raises novel questions about designing systems that assist users while supporting independent thinking. To safeguard users’ cognitive autonomy, this project aims to identify when users
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master's students in areas related to your expertise. Your competencies We expect you to have: A relevant master's degree in energy engineering, electrical engineering, mechanical engineering, chemical
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results through scientific publications, conferences, and project activities. The position may also include a limited amount of teaching and supervision of bachelor's and master's students in areas related
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, processes, and practices, and how educational institutions prepare students to navigate these changes and contribute to the development and implementation of AI. The project may draw on perspectives from
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society's most important health challenges. The department is home to approximately 180 academic staff members, around 100 PhD fellows and more than 1,700 students. We offer a stimulating research environment
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of the department. You may take part in limited teaching activities, such as giving lectures in relevant courses or supporting project-based learning activities, and you will supervise or co-supervise student
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important health challenges. The department is home to approximately 180 academic staff members, around 100 PhD fellows and more than 1,700 students. We offer a stimulating research environment that
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to understanding and designing AI-supported collaborative learning environments and technologies. The lab investigates how students learn with, through, and around AI, and develops new human-AI-human interaction
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. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its
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to understanding and designing AI-supported collaborative learning environments and technologies. The lab investigates how students learn with, through, and around AI, and develops new human-AI-human interaction