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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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look forward to receiving your application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through
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learning). The project will be carried out in a collaboration between Linköping University (main supervisor: Anders Eklund) and Lund University (co-supervisor: Mikael Nilsson) through an ELLIIT collaborative
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learning with interactive exhibits in public spaces. The PhD student will collaborate closely with visualization researchers, AI-specialists, research engineers, educational scientists, and pedagogues
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
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position is on the machine learning method development. We will strive for a tight collaboration between the groups, including regular meetings and research visits. As a PhD student in the project, you are
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numerical analysis, computational fluid dynamics, and uncertainty quantification with diverse applications. Our group maintains active collaborations with other divisions at Linköping University and broader
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to collaborate effectively with others. Your workplace You will be based in the Division for Communication Systems (KS), Department of Electrical Engineering (ISY), Linköping University. The Division
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to work effectively in a team with diverse technical and cultural backgrounds. You are willing to travel and to learn new techniques in different research environments, and you collaborate well with others
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should also be clear in your communication and able to collaborate effectively with others. Your workplace You will be based in the Division for Communication Systems (KS), Department of Electrical