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Engineering . You will be supervised by senior researchers with expertise in robotics, machine learning, automatic control, and optimization. The group leads and participates in numerous collaborative research
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, as well as close collaboration with farmers who are already testing these systems. As a PhD student within this project, your work will include field station and on-farm experiments, as well as data
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collaboration with farmers who are already testing these systems. As a PhD student within this project, your work will include field station and on-farm experiments, as well as data processing and writing. You
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researcher, you work as a neutral party in many contexts, which provides a fantastic opportunity to learn how to run challenging development projects, while collaborating with colleagues in related projects
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ground-breaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international
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contexts, which provides a fantastic opportunity to learn how to run challenging development projects, while collaborating with colleagues in related projects and with industrial partners. You will learn
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of Electrical Engineering. Here you will find a welcoming working environment with an active doctoral student network and a variety of experimental projects. The division collaborates with Swedish companies
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to collaborate and function well in a strong research environment, an interest in learning new things, and a willingness to individually develop the project in collaboration with the research group, as
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in your work. Ability and willingness to work in a highly collaborative environment, which involves research exchanges, learning multiple scientific approaches, and sharing knowledge, is absolutely
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student in Statistics who can perform high quality statistical research. Apply January 6, 2026, at the latest. We are seeking a PhD student within the WASP-HS project “Machine learning to study causality